Understanding of Internal Clustering Validation Measures

By Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu. 2010 IEEE International Conference on Data Mining, 2010

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Unifying Virtual and Physical Worlds (2017, background): “(2) The silhouette index (sil) [Rousseeuw 1987] validates clustering performance based on the pairwise difference of between- and within-cluster distances [Liu et al. 2010; Cheng et al. 2013],”
Search Result Clustering in Collaborative Sound Collections (2020, methodology): “tomatically is a complicated task, and there are different types of metrics that can be used [25]. Some of them are referred as internal metrics, and they are used when no ground truth label is known [24]. The Calinski-Harabasz Index (CHI) [5] evaluates the cluster validity based on the average betw”
Clustering algorithms: A comparative approach (2016, methodology): “algorithm to be applied on a specific dataset [96].”