eva = evalclusters(meas,myfunc,'CalinskiHarabasz',KList=1:6) eva = CalinskiHarabaszEvaluation with properties: NumObservations: 150 InspectedK: [1 2 3 4 5 6] CriterionValues: [NaN 513.9245 561.6278 530.4871 456.1279 469.5068] OptimalK: 3 ...
evalclusters函数evalclusters函数 evalclusters函数是MATLAB中的一个集群评估函数。它用于对一组数据进行聚类分析,并评估这些聚类的质量。该函数使用不同的聚类分析方法来创建不同数量的聚类,并根据一定的准则选择最佳的聚类数。evalclusters函数的语法是: Matlab [idx, C, sumd, D] = evalclusters(X, clusterMethod, ...
Hi, I am using evalclusters function to evaluate the number of clusters for kmeans cluster like this: eval = evalclusters(data, 'kmeans', 'gap', 'klist', [1:10],'B', 50, 'SearchMethod', 'firstMaxSE'); However, each time I run the function, it gives different cluster numbers...