Train a k-Means Clustering Algorithm Copy Code Copy Command Cluster data using k-means clustering, then plot the cluster regions. Load Fisher's iris data set. Use the petal lengths and widths as predictors. Get load fisheriris X = meas(:,3:4); figure; plot(X(:,1),X(:,2),'k*'...
1.K-means算法 k均值聚类算法(k-means clustering algorithm)是一种迭代求解的聚类分析算法,其步骤是,预将数据分为K组,则随机选取K个对象作为初始的聚类中心,然后计算每个对象与各个种子聚类中心之间的距离,把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个...
KMeansClustering.m function idx = KMeansClustering(X, k, centers) % Run the k-means clustering algorithm. % % INPUTS % X - An array of size m x n containing the points to cluster. Each row is % an n-dimensional point, so X(i, :) gives the coordinates o 裴来凡 2022/05/28 71...
help with kmeans clustering. Learn more about k-means, kmeans Statistics and Machine Learning Toolbox
matlab中Kmeans使用方法 kmeans K-means clustering Syntax IDX = kmeans(X,k) [IDX,C] = kmeans(X,k) [IDX,C,sumd] = kmeans(X,k) [IDX,C,sumd,D] = kmeans(X,k) [...] = kmeans(...,param1,val1,param2,val2,...)
吴恩达机器学习(十八)—— ex7:K-means Clustering and Principal Component Analysis (MATLAB + Python) Github链接。 一、K-means聚类 在此练习中,我们将实现K-means算法并使用它进行图像压缩。我们将首先启动一个样本2D数据集,来帮助我们直观理解K-means算法是如何工作的。之后,使用K-means...
[1,4; 4,1; -2,-3]; % run the k-means algorithm [Data_f, Mu_f] = k_means(Data_r, Mu); % to compare the results with the Matlan version of k-means [idx,Mu_m] = kmeans(Data_r(:,1:2),numClusters); %% plot the results figure; subplot(1,4,1); scatter(Data_o(:,1...
1.K-means算法 k均值聚类算法(k-means clustering algorithm)是一种迭代求解的聚类分析算法,其步骤是,预将数据分为K组,则随机选取K个对象作为初始的聚类中心,然后计算每个对象与各个种子聚类中心之间的距离,把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。每分配一个样本,聚类的...
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要用matlab做聚类,找了几个资源,列在这里。 一、方法1:用matlab自带的函数, IDX = kmeans(X,k) 二、参照一段网友写的代码 function y=kMeansCluster(m,k,isRand) %%%%%%%%%%%%%%%% % % kMeansCluster - Simple k means clustering algorithm % Author: Kardi Teknomo, Ph.D. % % Purpose: ...