kmodesD: Adapted k-modes algorithm

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

Adapted k-modes algorithm

Description

K-modes function to accept any categorical distance based on the function found in 'klaR:kmodes'.

Usage

kmodesD(data, modes, distFun, iter.max = 10)

Arguments

data	A matrix or data frame of categorical data. Objects have to be in rows, variables in columns.
modes	The number of modes
distFun	Pairwise categorical distance function. A function accepting two categorical vectors.
iter.max	The maximum number of iterations allowed.

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.