Soft Clustering Algorithms

Documentation for package ‘SoftClustering’ version 2.1.3

createLowerMShipMatrix	Create Lower Approximation
datatypeInteger	Rough k-Means Plotting
DemoDataC2D2a	A small two-dimensional dataset with two clusters for demonstration purposes. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
HardKMeans	Hard k-Means
HardKMeansDemo	Hard k-Means Demo
initializeMeansMatrix	Initialize Means Matrix
initMeansC2D2a	Two-dimensional dataset with two initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
initMeansC3D2a	Two-dimensional dataset with three initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
initMeansC4D2a	Two-dimensional dataset with four initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
initMeansC5D2a	Two-dimensional dataset with five initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
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