MASS, cluster, mclust, flexmix, prabclus, class, diptest, robustbase, kernlab, grDevices, graphics, methods, stats, utils, parallel Interface functions for manyĬlustering methods implemented in R, including estimating the number ofĬlusters with kmeans, pam and clara. Gaussian/multinomial mixture fitting for mixedĬontinuous/categorical variables. Prediction strength, Fang and Wang's bootstrap stability.
The number of clusters: Calinski-Harabasz, Tibshirani and Walther's Standardisation of cluster validation statistics by random clusterings andĬomparison between many clustering methods and numbers of clusters based onĬluster-wise cluster stability assessment. Cluster validation statisticsįor distance based clustering including corrected Rand index. SymmetricĪnd asymmetric discriminant projections for visualisation of the Various methods for clustering and cluster validation.įixed point clustering. As is common practice with almost all professional websites this site uses cookies, which are tiny files that are downloaded to your computer.
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