nonspecificity

<code>nonspecificity</code> the average nonspecificity of a credal partition, as defined 
in Denoeux et al (2018).

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

nonspecificity function

<dl><dt>P</dt>
<dd>The relation representation of a credal partition as generated by 
<code>pairwise_mass</code>.</dd></dl>

Arguments

Nonspecificity of the relational representation of a credal partition — nonspecificity

<dl>

<dt>P</dt>
<dd>The relation representation of a credal partition as generated by 
<code>pairwise_mass</code>.</dd>

</dl>

nonspecificity: Nonspecificity of the relational representation of a credal partition

Description

Usage

Value

Arguments

References

See Also

Examples