R: Hierarchical Cluster Analysis of Nominal Data

# Hierarchical Cluster Analysis of Nominal Data

## Documentation for package ‘nomclust’ version 2.8.1

- DESCRIPTION file

## Help Pages

anderberg | Anderberg (AN) Measure
as.agnes | Convert Objects to Class agnes, twins
burnaby | Burnaby (BU) Measure
CA.methods | Selected clustering algorithms
data20 | Artificial nominal dataset
dend.plot | Visualization of Cluster Hierarchy using a Dendrogram
eskin | Eskin (ES) Measure
eval.plot | Visualization of Evaluation Criteria
evalclust | Cluster Quality Evaluation of Nominal Data Hierarchical Clustering
gambaryan | Gambaryan (GA) Measure
goodall1 | Goodall 1 (G1) Measure
goodall2 | Goodall 2 (G2) Measure
goodall3 | Goodall 3 (G3) Measure
goodall4 | Goodall 4 (G4) Measure
iof | Inverse Occurence Frequency (IOF) Measure
lin | Lin (LIN) Measure
lin1 | Lin 1 (LIN1) Measure
nomclust | Hierarchical Clustering of Nominal Data
nomprox | Hierarchical Clustering of Nominal Data Based on a Proximity Matrix
of | Occurence Frequency (OF) Measure
sm | Simple Matching Coefficient (SM)
smirnov | Smirnov (SV) Measure
ve | Variable Entropy (VE) Measure
vm | Variable Mutability (VM) measure