balKmeans: Balanced Kmeans function

In Shubhansh2006/BalKmeans: Balanced K-means clustering in R

Description

This function implements balanced K-Means algorithm where the minimum and maximum number of observations in each cluster and the power ratings of each observation are taken as constraints.

Usage

balKmeans(data, k = 2, standardize = FALSE, max_iter = 20)

Arguments

data	dataset containing numerical columns of observations to be clustered.
k	number of output clusters required; default=2.
standardize	standardization of observation values required; by default=FALSE.
max_iter	maximum iterations to be made for clustering; default=20.

Value

A dataframe object with Balanced k clusters

Shubhansh2006/BalKmeans documentation built on May 30, 2019, 7:16 a.m.