fourclass

<p>A synthetic dataset with two attributes and four classes of 100 points each,  generated from a
multivariate t distribution with five degrees of freedom and centered, respectively,
on [0;0], [0;4], [4;0] and [4;4].</p>

datasets

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

fourclass function

<p>A data frame with three variables: x1, x2 and y (the true class).</p>

fourclass: Synthetic four-class dataset

Description

Usage

Arguments

Format

References

Examples