Hierarchical Cluster Analysis of Nominal Data

Documentation for package ‘nomclust’ version 2.8.0

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