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nomclust (version 2.8.0)

Hierarchical Cluster Analysis of Nominal Data

Description

Similarity measures for hierarchical clustering of objects characterized by nominal (categorical) variables. Evaluation criteria for nominal data clustering.

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Version

Install

install.packages('nomclust')

Monthly Downloads

276

Version

2.8.0

License

GPL (>= 2)

Maintainer

Sulc Zdenek

Last Published

August 18th, 2023

Functions in nomclust (2.8.0)

goodall2

Goodall 2 (G2) Measure
ve

Variable Entropy (VE) Measure
vm

Variable Mutability (VM) measure
sm

Simple Matching Coefficient (SM)
smirnov

Smirnov (SV) Measure
dend.plot

Visualization of Cluster Hierarchy using a Dendrogram
eval.plot

Visualization of Evaluation Criteria
data20

Artificial nominal dataset
gambaryan

Gambaryan (GA) Measure
eskin

Eskin (ES) Measure
as.agnes

Convert Objects to Class agnes, twins
anderberg

Anderberg (AN) Measure
evalclust

Cluster Quality Evaluation of Nominal Data Hierarchical Clustering
burnaby

Burnaby (BU) Measure
goodall1

Goodall 1 (G1) Measure
goodall3

Goodall 3 (G3) Measure
goodall4

Goodall 4 (G4) Measure
iof

Inverse Occurence Frequency (IOF) Measure
lin1

Lin 1 (LIN1) Measure
CA.methods

Selected clustering algorithms
nomprox

Hierarchical Clustering of Nominal Data Based on a Proximity Matrix
nomclust

Hierarchical Clustering of Nominal Data
of

Occurence Frequency (OF) Measure
lin

Lin (LIN) Measure