cluster_color

Generates a color for each data point based on its clustering assignment,
facilitating visual distinction of clusters in plots.

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

cluster_color function

<dl><dt>x</dt>
<dd>A clustering vector or a matrix. If a vector is provided, it
represents the cluster assignments for each data point. If a matrix is
provided, each row should represent a data point's membership across multiple
clusters.</dd></dl>

Arguments

Generate Colors for Clustering Visualization — cluster_color

<dl>

<dt>x</dt>
<dd>A clustering vector or a matrix. If a vector is provided, it
represents the cluster assignments for each data point. If a matrix is
provided, each row should represent a data point's membership across multiple
clusters.</dd>

</dl>

cluster_color: Generate Colors for Clustering Visualization

Description

Usage

Value

Arguments

Examples