R Graphical Manual

Last data update: 2014.03.03

R: Calculate Starting Values for Fuzzy k-means Clustering

getStart

R Documentation

Calculate Starting Values for Fuzzy k-means Clustering

This function calculates starting values as used in the wrapFKM function.

getStart(d, K = 10, nrep = 100, safety = TRUE, ...)

`d`	data-set with standardized columns
`K`	number of clusters
`nrep`	number of repetitions for the call to `kmeans` (default is 100).
`safety`	As described in the help to `kmeans`, the algorithm may not converge in the quick-transfer stage. If `safety` is set to `TRUE`, each run where this happens is discarded and repeated from a different random starting point.
`...`	further arguments to `kmeans`.

This function calculates starting values for wrapFKM as the solution of k-means clustering.

A matrix with K columns and nrow(d) rows.

Holger Sennhenn-Reulen

## Not run: getStart(d, K = 10, nrep = 100, safety = TRUE, ...)