datatypeInteger

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.

G. Peters

SoftClustering

Soft Clustering Algorithms

datatypeInteger function

<dl><dt>x</dt>
<dd>As a replacement for is.integer(). is.integer() delivers FALSE when the variable is numeric (as superset for integer etc.)</dd></dl>

Arguments

Author

Rough k-Means Plotting — datatypeInteger

<dl>

<dt>x</dt>
<dd>As a replacement for is.integer(). is.integer() delivers FALSE when the variable is numeric (as superset for integer etc.)</dd>

</dl>

datatypeInteger: Rough k-Means Plotting

Description

Usage

Value

Arguments

Author