然而,当聚类数目k的值较大时,DB指数的计算复杂度可能较高。 总结:轮廓系数、Calinski-Harabasz Index和Davies-Bouldin Index是三种常用的聚类内部评价指标,它们分别从不同角度评估聚类结果的好坏。在实际应用中,我们可以根据数据特点和需求选择合适的评价指标来评估聚类效果。同时,也可以结合多个评价指标进行综合评估,以获...
Score", metrics.calinski_harabaz_score(X, y_pred) 输出的Calinski-Harabasz分数为: Calinski-Harabasz Score...代码如下: for index, gamma in enumerate((0.01,0.1,1,10)): for index, k in enumerate((3,4,5,6)):...= 4 score: 3154.01841219 Calinski-Harabasz Score with gamma= 0.01 n_clusters...
2、方差比准则(Calinski-Harabasz Index) 由于Calinski-Harabasz指数的本质是簇间距离与簇内距离的比值,且整体计算过程与方差计算方式类似,所以又将其称之为方差比准则。 K是簇的数量,N是数据点的总数 BCSS (between - cluster Sum of Squares)是每个聚类质心(mean)与整体数据质心(mean)之间欧氏距离的加权平方和:...
The Calinski-Harabasz index (CH) is one of the clustering algorithms evaluation measures. It is most commonly used to evaluate the goodness of split by a K-Means clustering algorithm for a given…
Score", metrics.calinski_harabaz_score(X, y_pred) 输出的Calinski-Harabasz分数为:Calinski-HarabaszScore...代码如下: forindex, gamma in enumerate((0.01,0.1,1,10)): forindex, k in enumerate((3,4,5,6)):...= 4 score: 3154.01841219Calinski-HarabaszScore with gamma= 0.01 n_clusters= 5 scor...