numClusters: Calculates the optimal number of clusters using a cluster R^2...

Description Usage Arguments Author(s)

View source: R/numClusters.R

Description

Calculates the optimal number of clusters using a cluster R^2 equivalent metric, namely, the between sum of squares over the total sum of squares metric.

Usage

1
numClusters(Data, clusterIter = 10, threshold = 0.01)

Arguments

Data

The data that you wish to examine containing the cluster dimensions

clusterIter

The number of clusters centers for examination. A setting of 10 will run 2 through 10 cluster functions and return the best choice.

threshold

The difference in the cluster R^2 must meet in order to include the next cluster iteration.

Author(s)

Helena Ristov


helenristov/aCompiler documentation built on Sept. 6, 2017, 12:25 a.m.