igenerate

Creates intervals from Normal Distribution using specified mean and standard
deviation values for both the center and half-size of the intervals.

Provide functions for overlaps clustering, fuzzy clustering and interval-valued data manipulation. The package implement the following algorithms:
OKM (Overlapping Kmeans) from Cleuziou, G. (2007) <doi:10.1109/icpr.2008.4761079> ;
NEOKM (Non-exhaustive overlapping Kmeans) from Whang, J. J., Dhillon, I. S., and Gleich, D. F. (2015) <doi:10.1137/1.9781611974010.105> ;
Fuzzy Cmeans from Bezdek, J. C. (1981) <doi:10.1007/978-1-4757-0450-1> ;
Fuzzy I-Cmeans from de A.T. De Carvalho, F. (2005) <doi:10.1016/j.patrec.2006.08.014>.

Nicolas Hiot

COveR

Clustering with Overlaps

Guillaume Cleuziou

igenerate function

<dl><dt>n</dt>
<dd>Number of intervals to generate.</dd>
<dt>...</dt>
<dd>Vectors representing parameters for generating intervals: each
vector should contain four values (`center mean`, `center sd`,
`half-size mean`, `half-size sd`).</dd></dl>

Arguments

Creates intervals from Normal Distribution using specified mean and standard
deviation values for both the center and half-size of the intervals. — igenerate

<dl>

<dt>n</dt>
<dd>Number of intervals to generate.</dd>


<dt>...</dt>
<dd>Vectors representing parameters for generating intervals: each
vector should contain four values (`center mean`, `center sd`,
`half-size mean`, `half-size sd`).</dd>

</dl>

igenerate: Creates intervals from Normal Distribution using specified mean and standard deviation values for both the center and half-size of the intervals.

Description

Usage

Value

Arguments

Examples