Learn more about distance, euclidean, pdist, coordinates, optimisation MATLAB Hi all, Many of the codes I am currently using depend on a simple calculation: the distance between a single point and a set of other points. . The Euclidean distances between points in Y approximate a monotonic transformation of the corresponding dissimilarities in D . Now I want to create a mxn matrix such that (i,j) element represents the distance from ith point of mx2 matrix to jth point of nx2 matrix. If I have two points in 3d, A = [1579. 1w次，点赞12次，收藏54次。pdist成对观测值之间的两两距离语法D = pdist(X)D = pdist(X,Distance)D = pdist(X,Distance,DistParameter)说明D= pdist(X)返回X中成对观测值之间的欧几里德距离。D= pdist(X,Distance)使用Distance指定的方法返回距离。D= pdist(X,Distance,DistParameter)使用Distance和DistParameter指定. The Chebyshev distance between two n-vectors u and v is the maximum norm-1 distance between their respective elements. k = 2 B_kidx = knnsearch(B, A, 'K', k) then B_kidx will be the first two columns of B_idx, i. There is no in-built MATLAB function to find the angle between two vectors. Z (2,3) ans = 0. e. Dear @zhang-chi-IGGCAS,. cluster. The builtin function `pdist2` could be helpful, but it is inefficient for multiple timeframes data. This example shows how to construct a map of 10 US cities based on the distances between those cities, using cmdscale. Actually, that is simply NOT the formula for Euclidean distance. % Call a mex file to compute distances for the standard distance measures % and full real double or single data. Trajectory should be represented as nx2 numpy array. 1. Euclidian distance between two vectors of points is simply the sqrt(sum( (a-b). D = pdist(X,Distance,DistParameter) devuelve la distancia usando el método especificado por Distance y DistParameter. 357 views (last 30 days) Show older comments. Thanks for the reply anyway. How to find Euclidean distance in matlab Learn more about image processing mat distance MATLAB. D = pdist2 (X,Y,Distance,DistParameter,'Largest',K) computes the distance using the metric specified by Distance and DistParameter and returns the K largest pairwise distances in descending order. . FastThis is done using the MATLAB pdist function . It will do what you want, but is kind of overkill. Upgrade is not an option. Syntax. We can turn that into a square matrix where element (i,j) corresponds to the similarity between rows i and j with squareform (1-pdist (S1,'cosine')). 2444 169. would someone help with matlab code I can not use matlab function pdist pdist2 I need standard euclidean distance between two vectors This MATLAB function returns the distance between each pair of observations in X and Y using the Euclidean distance For code generation pdist2 uses. The return linkage matrix has the last column removed and the cluster indices are. The output, Y, is a. The output, Y, is a. . Available distance metrics include Euclidean, Hamming, and Mahalanobis, among others. silhouette (X,clust) The silhouette plot shows that the data is split into two clusters of equal size. For example, if we do. First, create the distance matrix and pass it to cmdscale. % n = norm (v) returns the Euclidean norm of vector v. The Matlab pdist function allows you to compute a custom pairwise distance metric if you supply a function handle to a function you code that computes the distance. Hi, I'm trying to perform hierarchical clustering on my data. 2070 83. Find more on Workspace Variables and MAT-Files in Help Center and File Exchange. The problem lie down here is not how to compare feature vector, it is how to represent your image by single vector. More precisely, the distance is given. 1 answer. T = cluster (Z, 'maxclust' ,3); Create a dendrogram plot of Z. By comparing the dendrograms produced by the clustergram object and the "manual" approach i. Copy. squareform returns a symmetric matrix where Z (i,j) corresponds to the pairwise distance between observations i and j. Rather it seems that the correct answer for these places should be a '0' (as in, they do not have anything in common - calculating a similarity measure using 1-pdist) . If X contains only one row, cov automatically converts it to a column vector, which means that each value will be treated as a different observation. sorry for the delayed reply. e. Mapping Toolbox supports a complete workflow for managing geographic data. Learn more about matlab, pdist2, matrixCreate a hierarchical cluster tree using the 'average' method and the 'chebychev' metric. 4 MATLAB pdist function. If your compiler does not support the Open Multiprocessing (OpenMP) application interface or you disable OpenMP library, MATLAB Coder™ treats the parfor -loops as for -loops. Description. The output from pdist is a symmetric dissimilarity matrix, stored as a vector containing only the (23*22/2) elements in its upper triangle. D = pdist2 (X,Y,Distance,DistParameter,'Largest',K) computes the distance using the metric specified by Distance and DistParameter and returns the K largest pairwise distances in descending order. Link. One immediate difference between the two is that mahal subtracts the sample mean of X from each point in Y before computing distances. For example, you can indicate censored data or specify control parameters for the iterative fitting algorithm. Whether you want to use MATLAB for personal use, commercial use, or use in teaching and academic research, there's a MATLAB license that meets your needs. Allows to define a minimum size for each cluster, distance type (as supported by Matlab pdist) and the number of clusters which are allowed to have less than the minimum size. com account, please see github. Comparing initial sampling methods. 计算 X 中各对行向量的相互距离 (X是一个m-by-n的矩阵). The Mahalanobis distance is a measure between a sample point and a distribution. So, you can do: ： (4)Matlab计算欧氏距离 Matlab计算距离主要使用pdist函数。若X是一个M×N的矩阵，则pdist(X)将X矩阵M行的每一行作为一个N维向量，然后计算这M个向量两两间的. This example shows how to use cmdscale to perform classical (metric) multidimensional scaling, also known as principal coordinates analysis. Explanation: pdist (S1,'cosine') calculates the cosine distance between all combinations of rows in S1. Given the matrix mx2 and the matrix nx2, each row of matrices represents a 2d point. Tags save; Community Treasure Hunt. Y = pdist(X) Y = pdist(X,'metric') Y = pdist(X,distfun,p1,p2,. Description. sz = size (A); A1 = reshape (A, [1 sz]); A2 = permute (A1, [2 1 3]); D = sqrt (sum (bsxfun (@minus, A1, A2). silhouette (X,clust) The silhouette plot shows that the data is split into two clusters of equal size. Description. obtainedusingFSL[FSL-fslmeants]22–24weredetrendedanddemeaned[MATLAB-detrend],andtherfMRI datawasbandpassltered[MATLAB-lt˛lt]intherangeof0. Which is "Has no license available". Therefore the similarity between all combinations is 1 - pdist (S1,'cosine') . . *B multiplies arrays A and B by multiplying corresponding elements. MATLAB Function Reference : pdist3. 2k views. Create a hierarchical binary cluster tree using linkage. pdist2 equivalent in MATLAB version 7 Ask Question Asked 12 years, 1 month ago Modified 10 years, 5 months ago Viewed 5k times 9 I need to calculate the. m' Matlab's built-in function for calculating the Euclidean distance between two vectors is strangely named (i. pdist supports various distance metrics: Euclidean. sparse）を使うと疎行列（スパース行列）を効率的に扱うことができる。. In Matlab there exists the pdist2 command. distfun must return an m2-by-1 vector of distances d2, whose kth element is the distance between XI. Using the MATLAB 'pdist' routine, the Euclidian distance between every pair of end-nodes was calculated, and the maximum value was taken as the dendritic diameter. 8) Trying to use a function that has been removed from your version of MATLAB. See answers from experts and users. dist = stdist (lat,lon,ellipsoid,units,method) specifies the calculation method. dist() 方法 Python math 模块 Python math. This section is mostly for those of you who intend to develop and contribute code yourself (i. All the points in the two clusters have large silhouette values (0. Helllo. It computes the distances between. Any ideas how I can input a vector of points like this? squareform returns a symmetric matrix where Z (i,j) corresponds to the pairwise distance between observations i and j. For example, you can find the distance between observations 2 and 3. Get an overview of what functions in MATLAB® are, and learn how to use them. [D,I] = pdist2 ( ___) also returns the matrix I. . cartography distance euclidian geography map MATLAB pdist. These distances were clustered with the MATLAB linkage function for agglomerative hierarchical cluster trees (method = ‘complete’). A distance function specified using @: D = pdist (X,@distfun) A distance function must be of form d2 = distfun (XI,XJ) taking as arguments a 1-by-n vector XI, corresponding to a single row of X, and an m2-by-n matrix XJ, corresponding to multiple rows of X. It computes the distance of all pixels in the background to the nearest object. e loop through the "loc_i" variable) to find the distance between a particular coordinate and the rest of the coordinates. 0414 2. Documentation, examples, videos, and other support resources for MathWorks products including MATLAB and Simulink. 0. Edit. 5 4. Covariance estimation in a big data setting. Matlab princomp function running under Matlab R2007b with the Statistics Toolbox (The Mathworks, Inc. The points are arranged as m n-dimensional row vectors in. You need to take the square root to get the distance. Ultimately, the. y = squareform (Z) squareform returns a symmetric matrix where Z (i,j) corresponds to the pairwise distance between observations i and j. See Also. % Call a mex file to compute distances for the standard distance measures % and full real double or single data. txt format. m is interfering with use of the pdist2 from the Statistics toolbox. The matrix I contains the indices of the observations in X corresponding to the distances in D. distfun must accept a matrix XJ with an arbitrary number of rows. So the only time an initial condition will be a N x M matrix is when the PDE is a system of N unknowns with M spatial mesh points. Z = dist (W,P) takes an S -by- R weight matrix, W, and an R -by- Q matrix of Q input (column) vectors, P, and returns the S -by- Q matrix of vector distances, Z. Computes the distance between m points using Euclidean distance (2-norm) as the distance metric between the points. 15HztoimproveidenticationofMATLAB GPU Computing Support for NVIDIA CUDA Enabled GPUs Generate CUDA code directly from MATLAB for deployment to data centers, clouds, and embedded devices using GPU Coder™. computes BW dist-function by blocks, supposedly using less memory, with blocks of the length sz along n-th dimension Remarks See Also : padarr : pevoln2framesThe statstics toolbox offers pdist and pdist2, which accept many different distance functions, but not weighting. D is a 1 -by- (M* (M-1)/2) row vector corresponding to the M* (M-1)/2 pairs of sequences in Seqs. Z (2,3) ans = 0. % Autor: Ana C. The behavior of this function is very similar to the MATLAB linkage function. pdist. K means Clustering in Matlab Matlab Geeks. How to calculatesecond code and is matlab support another distance matrix like standard euclidean distance matlab MATLAB Answers April 12th, 2018 - Helllo I need help with standard euclidean distance knew would someone help with matlab code I can not use matlab function pdist pdist2 I need standard euclidean distance between two vectorsMATLAB. There is an example in the documentation for pdist: import numpy as np from scipy. to_mlab_linkage# scipy. In human motion analysis, a commond need is the computation of the distance between defferent point sets. I thought ij meant i*j. , 'pdist') and has an odd. sample command and generate samples of the model parameters. I have tried using the following to do this: Theme. 0414 3. end. If the sizes of A and B are compatible, then the two arrays implicitly expand to match each other. Therefore, D1 (1) and D1 (2), the pairwise distances (2,1) and (3,1), are NaN values. I want to calculate the Jaccard similarity in Matlab, between the vectors A, B, C and D. A full dissimilarity matrix must be real and symmetric. Syntax. You can try the following workarounds: 1. ParameterSpace to specify the probability distributions for model parameters that define a parameter space for sensitivity analysis. pdist is working fine and the stats toolbox is set in the path. 01634 Hz–0. distance import pdist dm = pdist(X, lambda u, v: np. 2 279] B = [1674. Create a silhouette plot from the clustered data using the Euclidean distance metric. Performance comparisons of Matlab pdist and GPU CUDA code computing the pairwise distance matrices of Spearman correlation coefficient. This generates a problem when we want to use this data in the function pdist. how can I add a dot product as a distance function in pdist of matlab. MATLAB - passing parameters to pdist custom distance function. Pairwise distance between pairs of observations MATLAB pdist. Regards, BhavyaI'm producing m amount of nx1 vectors, and storing them all in an nxm matrix A (each column is a vector). function Distance = euclidean (x,y) % This function replaces the function pdist2 available only at the Machine. example. calculate_distance. 5. % Learning toolbox. 转载自CSDN——再次写给我们这些浮躁的程序员; matlab - 3 自由度的机械臂Documentation, examples, videos, and other support resources for MathWorks products including MATLAB and Simulink. To set the resolution of the output file for a built-in MATLAB format, use the -r switch. Learn more about distance bigdata MATLAB So I have a matrix that is 330,000 observations = rows x 160 variables = columns. sum())) If you want to use a regular function instead of a lambda function the equivalent would be I was told that by removing unnecessary for loops I can reduce the execution time. Currently avaliable codes in FEX are also insufficient as they can only compute (squared. You can define your own distance function to handle complex-valued data. 1. For a recent project I needed to calculate the pairwise distances of a set of observations to a set of cluster centers. Oblique projection in Matlab mesh. A distance function specified using @: D = pdist (X,@distfun) A distance function must be of form d2 = distfun (XI,XJ) taking as arguments a 1-by-n vector XI, corresponding to a single row of X, and an m2-by-n matrix XJ, corresponding to multiple rows of X. cache가 "maximal"인 경우 pdist는 크기가 M×M인 전체 중간 행렬에 대해 충분한 메모리를 할당하려고. between each pair of observations in the MX-by-N data matrix X and. This question is a follow up on Matlab euclidean pairwise square distance function. T = cluster (Z, 'maxclust' ,3); Create a dendrogram plot of Z. Right-click Group 18, then select Export Group to Workspace. The question is what would you do then. Am I correct?This MATLAB function returns the Euclidean distance between pairs of observations in X. The Canberra distance between two points u and v is. ), however at the end, it shows an important message. e. Description. Supervised and semi-supervised learning algorithms for binary and multiclass problems. 欧氏距离(Euclidean Distance) 欧氏距离是最易于理解的一种距离计算方法，源自欧氏空间中两点间的距离公式。(1)二维平面上两点a(x1,y1)与b(x2,y2)间的欧. Syntax. Explicit Parallelism Using MATLAB Workers. . Python：generator的send()方法流程分析; 多边形面积_ssl1213_计算几何; html5中的points,Can I plot HTML5 Canvas x/y points. 8717. You can use D = pdist (X) to calculate pairwise isdtance in MATLAB, default distance is Euclidean. You can also use pdist, though it's a little more complicated, and I attach a demo for that. cmdscale takes as an input a matrix of inter-point distances and creates a configuration of points. Ideally, those points are in two or three dimensions, and the. D can also be a more general dissimilarity vector or matrix that conforms to the output format of pdist or pdist2, respectively. Go to MATLAB > Preferences > Workspace and ensure the Maximum array size limit is set to 100%. . Z = linkage (meas, 'average', 'chebychev' ); Find a maximum of three clusters in the data. pdist (x) computes the Euclidean distances between each pair of points in x. Description. . out = pdist(X, 'euclidian') 0. The sizes of A and B must be the same or be compatible. You can use one of the following methods for your utility: norm (): distance between two points as the norm of the difference between the vector elements. 切比雪夫距离 ( Chebyshev Distance) 国际象棋玩过么？ Here is my question: I have a matrix wich represents individuals, along with their coordinates and other variables. Really appreciate if somebody can help me. D is a 1 -by- (M* (M-1)/2) row vector corresponding to the M* (M-1)/2 pairs of sequences in Seqs. Try something like E = pdist2 (X,Y-mean (X),'mahalanobis',S); to see if that gives you the same results as mahal. Pairwise distance between observations. 이 경우, MATLAB ®. Learn more about pdist2, error, stats MATLAB Every time I want to use pdist2, I get the following error: Undefined function 'pdist2mex' for input arguments of type 'double'. Distance – Hamming Vs Euclidean – GaussianWaves. 'Pairwise distance between pairs of observations MATLAB pdist May 1st, 2018 - This MATLAB function returns the Euclidean distance between pairs of observations in X For code generation pdist uses parfor MATLAB ® Coder? treats the''Euclidean distance ED calculation in matlab MATLABPairwise distance between pairs of observations MATLAB pdist. Python：generator的send()方法流程分析; 多边形面积_ssl1213_计算几何; html5中的points,Can I plot HTML5 Canvas x/y points. The software generates these samples using the distributions specified for each. Full size image. Thanks. Load the patients data set. To explore classification models interactively, use the Classification Learner app. You need to rename or delete. This function fully supports thread-based environments. I know matlab has a built in pdist function that will calculate pairwise distances. The same piece of code seems to work just fine on later versions of the data, but going back in time (when observations should be less similar) the 'NaN's start appearing. Contact Sales. T = cluster (Z, 'maxclust' ,3); Create a dendrogram plot of Z. Then use pdist to transform the 10-dimensional data into dissimilarities. Matlab provides a knnsearch function that uses K-D-trees for this exact purpose. The Signal-to-Noise Ratio (SNR) is a useful metric in determining how clear any detected inclusion is by providing an assessment of the ratio between the background noise and the desired signal. 0 votes. Specify the origin of the local NED system with the geodetic coordinates lat0, lon0, and h0. At the moment i am using the pdist function in Matlab, to calculate the euclidian distances between various points in a three dimensional cartesian system. 1 altering a matrix in matlab. 这里我们主要研究聚类的MATLAB实现，实现步骤大致如下：. . 5495 Columns 6 through 10 3. Utilice kmeans para crear grupos en MATLAB® y utilice pdist2 en el código generado para asignar nuevos datos a grupos existentes. 1. pdist (X): Euclidean distance between pairs of observations in X. Clustergram documentation says that the default distance used is 'Euclidean' and the default linkage method is 'Average', same parameters I used. The Euclidean distance between two vectors b. Development install. Turns out that vectorizing makes it about 40x faster. aN bN cN. Generate C code that assigns new data to the existing clusters. help with matlab code I can not use matlab function pdist pdist2 I need standard euclidean distance between two vectors Distance ? Hamming Vs Euclidean Distance of a coding scheme is the lowest Fourier transform gray code M QAM Matlab Code Matlab Codes matrix algebra. 例子. The whole kicker is you can simply use the built in MATLAB functionpd = fitdist (x,distname,Name,Value) creates the probability distribution object with additional options specified by one or more name-value pair arguments. 6) Trying to use a function that belongs to a third-party toolbox that isn’t installed. 2016 CLYDE AUTO CENTRE CATALINA JUNIOR OPEN CHAMPIONSHIPS. Classification. Z (2,3) ans = 0. Tomas on 5 Feb 2014. pdist2 MathWorks Makers of MATLAB and Simulink. Define an entry-point function named findNearestCentroid that accepts centroid positions and new data, and then find the nearest cluster by using pdist2. It will exceedingly ease you to see instruction Matlab Coding For Euclidean. y = squareform (Z) D = pdist2 (X,Y,Distance,DistParameter,'Largest',K) computes the distance using the metric specified by Distance and DistParameter and returns the K largest pairwise distances in descending order. Run the command. 4 51. The patristic distances are computed by following paths through the branches of the tree and adding the patristic branch distances originally created with the seqlinkage function. To save your figure as a graphics-format file, specify a format switch and filename. on 16 Feb 2023. Learn more about distance, euclidean, pdist, coordinates, optimisation MATLAB Hi all, Many of the codes I am currently using depend on a simple calculation: the distance between a single point and a set of other points. Detailed examples of Dendrograms including changing color, size, log axes, and more in MATLAB. m. % data X = []; % 50*3. Often there are more then 1 occurences on one location. pdist (. In a MATLAB code I am using the kullback_leibler_divergence dissimilarity function that can be found here. example. The distance function must be of the form d2 = distfun(XI,XJ), where XI is a 1-by-n vector corresponding to a single row of the input matrix X, and XJ is an m 2-by-n matrix corresponding to multiple rows of X. matrix = rand (132,18) Distance will be a vector [1x8646]; D_matrix = squareform (Distance,'tomatrix'); is a matrix 132x132 contaning all the pairwise distances between te. function Distance = euclidean (x,y) % This function replaces the function pdist2 available only at the Machine. where(x>3)) (Not that there's anything wrong with where! The direct indexing may just be a more familiar form to. pdist returns a condensed distance matrix. 0 matlab use my own distance function for pdist. sum())) If you want to use a regular function instead of a lambda function the equivalent would beI was told that by removing unnecessary for loops I can reduce the execution time. 7 249] these are (x, y, z) coordinates in mm, What is the easiest way to compute the distance (mm) between these two points in matlab, Thanks. M is the number of leaves. Create a hierarchical cluster tree using the 'average' method and the 'chebychev' metric. Not exactly. 7) Trying to use a function that does not yet exist in your version of MATLAB. This syntax returns the standard distance as a linear distance in the same units as the semimajor axis of the reference ellipsoid. Copy. Sign in to comment. Thread-Based Environment Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool. This norm is also. The distances are returned in a one-dimensional array with length 5* (5 - 1)/2 = 10. Syntax. ), and you can see that each histogram gives a different set of values. Define a custom distance function naneucdist that ignores coordinates with NaN values and returns the Euclidean distance. Create a hierarchical cluster tree using the 'average' method and the 'chebychev' metric. example. For a dataset made up of m objects, there are pairs. for each point in A the indices of the nearest two points in B. dist(p, q) 方法返回 p 与 q 两点之间的欧几里得距离，以一个坐标序列（或可迭代对象）的形式给出。 两个点必须具有相同的维度。 传入的参数必须是正整数。 Python 版本：3. 2 Comments. Chances are you don't need that all in memory at the same time. Statistics and Machine Learning Toolbox™ offers two ways to find nearest neighbors. . There is a function in its Statistics Toolbox called pdist that calculates the pairwise distances. dist(p, q) 参数说明： p -- 必需，指定第一个点。I am struggling a bit here, and hope somebody could help. Pass Z to the squareform function to reproduce the output of the pdist function. 8 or greater), indicating that the clusters are well separated. dim = dist ('size',S,R,FP) takes the layer dimension S, input dimension R, and function. . 5,Learn more about pdist, distance metric, dtw, hierarchical clustering, dynamic time warping Statistics and Machine Learning Toolbox, Signal Processing Toolbox. Classification is a type of supervised machine learning in which an algorithm “learns” to classify new observations from examples of labeled data. m. 0. Where p = 1 (for now), n is as large as the number of points and d as large as the number of dimensions (3 in this case). I managed to use pdist(X) instead. Thread-Based Environment Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool. cophenet. 🄳. mahal returns the squared Mahalanobis distance. Pairwise distance between pairs of observations MATLAB pdist. The generated code of pdist uses parfor (MATLAB Coder) to create loops that run in parallel on supported shared-memory multicore platforms in the generated code. 0670 0. This functions finds distance (in km) between two points on Earth using latitude-longitude coordinates of the two points. If you want the number of positions that differ, you can simply multiply by the number of pairs you have: numberPositionsDifferent = size (A,2)*pdist (A,'hamming'); If that's not what you meant, you might want to give more information (including the answer to Walter's questions in. Copy. It computes the distances between rows of X. . 13. I need standard euclidean distance between two vectors. pdist. I would like to use the linkage function in matlab with a custom distance. When classifying, it is often necessary to estimate the similarity metric between different samples (similarity measurement), which is usually done by calculating the "distance" (Distance) between samples. 一、pdist 和 pdist2 是MATLAB中用于计算距离矩阵的两个不同函数，它们的区别在于输入和输出以及一些计算选项。选项：与pdist相比，pdist2可以使用不同的距离度量方式，还可以提供其他选项来自定义距离计算的行为。输出：距离矩阵是一个矩阵，其中每个元素表示第一组点中的一个点与第二组点中的. Follow. pdist函数 D = pidst(X)主要计算X的行的距离，例如输入X为m n的矩阵，输出D为m (m-1)/2的向量 pdist 认为输入矩阵中，每一行是一个实例。MATLAB: we have data that give x y coordinates of occurences. . {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"+local","path":"+local","contentType":"directory"},{"name":"+lp","path":"+lp","contentType. Specify 'NSMethod','kdtree' to create a KDTreeSearcher object. T = cluster (Z, 'maxclust' ,3); Create a dendrogram plot of Z. How to find euclidean distance MATLAB Answers MATLAB. For more information, see Run MATLAB Functions in Thread-Based Environment. 126; asked Feb 19, 2018 at 10:51. Run the command. Sign in to answer this question. m. How to calculate euclidean distance for 3 Learn more about how to calculate euclidean distance using matlab for 3 some one help to solve using MATLAB. (2019a , 2019b ) and thus. aN bN cN. 9448. k = 2 B_kidx = knnsearch(B, A, 'K', k) then B_kidx will be the first two columns of B_idx, i. However, a proper distance measure needs to have a few properties, i. The Chebyshev distance between two n-vectors u and v is the maximum norm-1 distance between their respective elements. MATLAB Calculate L2 Euclidean distance kawahara ca. m or remove that directory from your MATLAB path. 欧氏距离：d=pdist. Z (2,3) ans = 0.