create_fuzzy_credpart

<code>create_fuzzy_credpart</code> creates a "credpart" object from a fuzzy or possibilistic partition matrix.

Various clustering algorithms that produce a credal partition,
i.e., a set of Dempster-Shafer mass functions representing the membership of objects
to clusters. The mass functions quantify the cluster-membership uncertainty of the
objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means,
Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential
Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based
Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based
Evidential Clustering.

Thierry Denoeux

evclust

Evidential Clustering

create_fuzzy_credpart function

<dl><dt>U</dt>
<dd>A fuzzy or possibilistic partition matrix of size n*c, wheer c is the nmber of clusters.</dd></dl>

Arguments

Creation of a "credpart" object from a from a fuzzy or possibilistic partition matrix — create_fuzzy_credpart

<dl>

<dt>U</dt>
<dd>A fuzzy or possibilistic partition matrix of size n*c, wheer c is the nmber of clusters.</dd>

</dl>

create_fuzzy_credpart: Creation of a "credpart" object from a from a fuzzy or possibilistic partition matrix

Description

Usage

Value

Arguments

References

See Also

Examples