clusterFunSel: Clustering generating function

In DiscreteGapStatistic: An Extension of the Gap Statistic for Ordinal/Categorical Data

Clustering generating function

Description

A function that generates formatted algorithmic functions that can be plugged to enable run a wide variety of clustering algorithm for 'clusGapDiscr' function.

Usage

clusterFunSel(clustFun)

Arguments

clustFun

A character string with the following possible options: 'pam' (default) from ‘cluster::pam', ’diana' from ‘cluster::diana', ’fanny' from 'cluster::fanny', 'agnes-{average, single, complete, ward, weighted}' from 'cluster::agnes', 'hclust-{ward.D, ward.D2, single, complete, average, mcquitty, median, centroid}' from 'base::hclust', 'kmodes' from 'klar::kmodes' ('iter.max = 10', 'weighted = FALSE' and 'fast= TRUE'). 'kmodes-N' enables to run the 'kmodes' algorithm with a given number N of iterations where 'iter.max = N'.

Value

An object of class kmodes as found in 'klaR' packages. An additional component specifies the categorical distance function found in 'distFun'.

DiscreteGapStatistic documentation built on April 3, 2025, 9:22 p.m.