Package

r-fpc

Description

Flexible Procedures for Clustering. 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.
Cluster-wise cluster stability assessment. Methods for estimation of the
number of clusters: Calinski-Harabasz, Tibshirani and Walther's
prediction strength, Fang and Wang's bootstrap stability.
Gaussian/multinomial mixture fitting for mixed continuous/categorical
variables. Variable-wise 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.

Note