fpc
type: Item
swMATH work ID: 7105
instance of: R package
software version identifier: 2.2-10
software version identifier: 1.0-1
software version identifier: 1.0-2
software version identifier: 1.0
software version identifier: 1.1-1
software version identifier: 1.1-2
software version identifier: 1.1-3
software version identifier: 1.2-1
software version identifier: 1.2-2
software version identifier: 1.2-3
software version identifier: 1.2-4
software version identifier: 1.2-6
software version identifier: 1.2-7
software version identifier: 2.0-1
software version identifier: 2.0-2
software version identifier: 2.0-3
software version identifier: 2.1-4
software version identifier: 2.1-5
software version identifier: 2.1-6
software version identifier: 2.1-7
software version identifier: 2.1-8
software version identifier: 2.1-9
software version identifier: 2.1-10
software version identifier: 2.1-11.1
software version identifier: 2.1-11.2
software version identifier: 2.1-11
software version identifier: 2.2-1
software version identifier: 2.2-2
software version identifier: 2.2-3
software version identifier: 2.2-4
software version identifier: 2.2-5
software version identifier: 2.2-6
software version identifier: 2.2-7
software version identifier: 2.2-8
software version identifier: 2.2-9
software version identifier: 2.2-11
maintained by: Christian Hennig
CRAN project: fpc
programmed in: R
last update: 2023-12-15T00:00:00Z
description: 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.
author: Christian Hennig
copyright license: GNU General Public License, version 2.0
copyright license: GNU General Public License, version 3.0
imports: MASS
imports: cluster
imports: mclust
imports: flexmix
imports: prabclus
imports: class
imports: diptest
imports: robustbase
imports: kernlab
imports: grDevices
imports: graphics
imports: methods
imports: stats
imports: utils
imports: parallel
MaRDI profile type: Software
depends on software: R
source code repository: fpc
description: Flexible Procedures for Clustering