bootCH: Bootstrap Replicates of the Calinski-Harabas index for...

In alteryx/AlteryxPredictive: Utility functions used by the predictive tools in Alteryx

Description

This function calculates the Calinski-Harabas index for all solutions contained in a bootFlexclust object. It does it for each Rand test paired comparison, so 100 bootstrap replicates of the Rand index will result in 200 Calinski-Harabase index values. This code borrows from the function index.G1 of Marek Walesiak and Andrzej Dudek's clusterSim package in terms of implementing the sum of squares components

Usage

bootCH(xdat, k_vals, clstr1, clstr2, cntrs1, cntrs2, method = c("kmn", "kmd",
  "neuralgas"))

Arguments

xdat	A numeric matrix of the data to be clustered.
k_vals	An integer vector giving the set of clustering solutions to be examined.
clstr1	The cluster assignments from a bootFlexclust object for one side of the Rand index paired comparisons.
clstr2	The cluster assignments from a bootFlexclust object for the other side of the Rand index paired comparisons
cntrs1	The cluster centers from a bootFlexclust object for one side of the bootFlexclust Rand index paired comparisons.
cntrs2	The cluster centers from a bootFlexclust object for the other side of the bootFlexclust Rand index paired comparisons.
method	The clustering method, one of "kmn" (K-Means), "kmd" (K-Medians), and "neuralgas" (neural gas).

Author(s)

Dan Putler

alteryx/AlteryxPredictive documentation built on May 12, 2019, 1:37 a.m.