dpseudoF {drclust}

double pseudoF (Calinski-Harabsz) index

Description

A pseudoF version for double partitioning, for the choice of the number of clusters of the units and variables (rows and columns of the data matrix). It is a diagnostic tool for inspecting simultaneously the optimal number of unit-clusters and variable-clusters.

Usage

dpseudoF(data, maxK, maxQ)

Arguments

data

Units x variables numeric data matrix.

maxK

Maximum number of clusters for the units to be tested.

maxQ

Maximum number of clusters for the variables to be tested.

Value

dpseudoF

matrix containing the pF value for each pair of K and Q within the specified range

Author(s)

Ionel Prunila, Maurizio Vichi

References

R. Rocci, M. Vichi (2008)" Two-mode multi-partitioning" <doi:10.1016/j.csda.2007.06.025>

T. Calinski & J. Harabasz (1974). A dendrite method for cluster analysis. Communications in Statistics, 3:1, 1-27

Examples

# Iris data 
# Loading the numeric variables of iris data
iris <- as.matrix(iris[,-5]) 

dpeudoF <- dpseudoF(iris, maxK=10, maxQ = 3)