SoftClustering2.1.3 package

Soft Clustering Algorithms

createLowerMShipMatrix

Create Lower Approximation

datatypeInteger

Rough k-Means Plotting

HardKMeans

Hard k-Means

HardKMeansDemo

Hard k-Means Demo

initializeMeansMatrix

Initialize Means Matrix

normalizeMatrix

Matrix Normalization

plotRoughKMeans

Rough k-Means Plotting

RoughKMeans_LW

Lingras & West's Rough k-Means

RoughKMeans_PE

Peters' Rough k-Means

RoughKMeans_PI

PI Rough k-Means

RoughKMeans_SHELL

Rough k-Means Shell

Download source packageRead PDF manual

It contains soft clustering algorithms, in particular approaches derived from rough set theory: Lingras & West original rough k-means, Peters' refined rough k-means, and PI rough k-means. It also contains classic k-means and a corresponding illustrative demo.

  • Maintainer: G. Peters
  • License: GPL-2
  • Last published: 2023-08-18