R: Soft Clustering Algorithms

# Soft Clustering Algorithms

## Documentation for package ‘SoftClustering’ version 2.1.3

- DESCRIPTION file

## Help Pages

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