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. 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.

Documentation

Manual: fpc.pdf
Vignette: None available.

Maintainer: Christian Hennig <c.hennig at ucl.ac.uk>

Author(s): Christian Hennig <c.hennig at ucl.ac.uk>

Install package and any missing dependencies by running this line in your R console:

install.packages("fpc")

Depends R (>= 2.0)
Imports MASS, cluster, mclust, flexmix, prabclus, class, diptest, mvtnorm, robustbase, kernlab, trimcluster, grDevices, graphics, methods, stats, utils
Suggests
Enhances
Linking to
Reverse
depends
MSeasy
Reverse
imports
clustrd, dendextend, MEGENA, nullabor, QuantumClone, robCompositions, RPANDA, semiArtificial, sskm, stream, tspmeta
Reverse
suggests
dbscan, mlr, rattle, trimcluster
Reverse
enhances
Reverse
linking to

Package fpc
Materials
URL http://www.homepages.ucl.ac.uk/~ucakche/
Task Views Cluster , Multivariate
Version 2.1-10
Published 2015-08-14
License GPL
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks fpc check results
Package source fpc_2.1-10.tar.gz