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nomclust (version 2.6.2)

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

2.6.2

License

GPL (>= 2)

Maintainer

Sulc Zdenek

Last Published

November 7th, 2022

Functions in nomclust (2.6.2)

iof

Inverse Occurence Frequency (IOF) Measure
goodall1

Goodall 1 (G1) Measure
lin

Lin (LIN) Measure
goodall2

Goodall 2 (G2) Measure
good3

Goodall 3 (G3) Measure
goodall3

Goodall 3 (G3) Measure
good1

Goodall 1 (G1) Measure
goodall4

Goodall 4 (G4) Measure
good2

Goodall 2 (G2) Measure
good4

Goodall 4 (G4) Measure
sm

Simple Matching Coefficient (SM)
lin1

Lin 1 (LIN1) Measure
nomclust

Hierarchical Clustering of Nominal Data
of

Occurence Frequency (OF) Measure
nomprox

Hierarchical Clustering of Nominal Data Based on a Proximity Matrix
smirnov

Smirnov (SV) Measure
ve

Variable Entropy (VE) Measure
vm

Variable Mutability (VM) measure
eval.plot

Visualization of Evaluation Criteria
as.agnes

Convert Objects to Class agnes, twins
anderberg

Anderberg (AN) Measure
evalclust

Cluster Quality Evaluation of Nominal Data Hierarchical Clustering
gambaryan

Gambaryan (GA) Measure
eskin

Eskin (ES) Measure
dend.plot

Visualization of Cluster Hierarchy using a Dendrogram
CA.methods

Selected clustering algorithms
burnaby

Burnaby (BU) Measure
data20

Artificial nominal dataset