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, ...
BUG? evalclusters is sensitive to rows (points)... Learn more about clustering, kmeans, silhouette, rng, bug, evalcluster MATLAB
eval = evalclusters(data, 'kmeans', 'gap', 'klist', [1:10],'B', 50, 'SearchMethod', 'firstMaxSE'); However, each time I run the function, it gives different cluster numbers. I'm quite confused about this. Could you please help me to explain this problem and do you know ...
eva = evalclusters(X, idx, 'CalinskiHarabasz') 其中,X是数据矩阵,k是聚类数,'Replicates'是重复次数,'CalinskiHarabasz'是聚类质量指标。evalclusters函数返回的eva结构体包含了不同聚类数下的聚类质量指标,以及最佳聚类数和对应的聚类结果。 evalclusters函数支持多种聚类质量指标,包括Calinski-Harabasz指数、Davies-Bou...