Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Clusterwise cluster stability assessment. Methods for estimation of the number of clusters: CalinskiHarabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variablewise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.
Package details 


Author  Christian Hennig <christian.hennig@unibo.it> 
Maintainer  Christian Hennig <christian.hennig@unibo.it> 
License  GPL 
Version  2.29 
URL  https://www.unibo.it/sitoweb/christian.hennig/en/ 
Package repository  View on CRAN 
Installation 
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