UnweightedKMeansClustering: Unweighted K-means clustering

In sharp: Stability-enHanced Approaches using Resampling Procedures

Unweighted K-means clustering

Description

Runs k-means clustering using implementation from kmeans. This function is not using stability.

Usage

UnweightedKMeansClustering(xdata, nc = NULL, ...)

Arguments

xdata	data matrix with observations as rows and variables as columns.
nc	matrix of parameters controlling the number of clusters in the underlying algorithm specified in implementation. If nc is not provided, it is set to seq(1, tau*nrow(xdata)).
...	additional parameters passed to kmeans.

Value

A list with:

comembership	an array of binary and symmetric co-membership matrices.
weights	a matrix of median weights by feature.

sharp documentation built on April 11, 2025, 5:44 p.m.