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clv (version 0.3-2.1)

Cluster Validation Techniques

Description

Package contains most of the popular internal and external cluster validation methods ready to use for the most of the outputs produced by functions coming from package "cluster". Package contains also functions and examples of usage for cluster stability approach that might be applied to algorithms implemented in "cluster" package as well as user defined clustering algorithms.

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Version

Install

install.packages('clv')

Monthly Downloads

2,067

Version

0.3-2.1

License

GPL (>= 2)

Last Published

November 11th, 2013

Functions in clv (0.3-2.1)

clv.Scatt

Average scattering for clusters - Internal Measure
cls.stab.sim.ind.usr

Cluster Stability - Similarity Index and Pattern-wise Stability Approaches with User Defined Cluster Algorithms
cls.set.section

Section of two subsets - External Measure utilities
clv.Davies.Bouldin

Davies-Bouldin Index - Internal Measure
cls.stab.sim.ind

Cluster Stability - Similarity Index and Pattern-wise Stability Approaches
similarity.index

Similarity index based on confusion matrix - External Measure, Cluster Stability
cls.attrib

Mean, cluster size and center - cluster utilities
confusion.matrix

Confusion Matrix - External Measures, Cluster Stability
wcls/bcls.matrix

Matrix Cluster Scatter Measures
connectivity

Connectivity Index - Internal Measure
std.ext

Standard External Measures: Rand index, Jaccard coefficient etc.
dot.product

Cosine similarity measure - External Measure, Cluster Stability
clv.Dunn

Dunn Index - Internal Measure
clv.SD, clv.SDbw

SD, SDbw - Internal Measures
clv.Dis

Total separation between clusters - Internal Measure
cls.scatt.data

Intercluster distances and intracluster diameters - Internal Measures
clv.Dens_bw

Inter-cluster density - Internal Measure