epica-package: Entropy-based ProbabilIstic Clustering visuAlization

Description Details Author(s)

Description

Compute entropy-based distances between clusters centers and points, and then run the MDS algorithm on centers distances matrix. Points representations on the MDS 2D map are computed by solving an optimization problem described in the package vignette.

Details

See package vignette for mathematical details.

The main function is epcv for "Entropy-based Probabilistic Clustering Visualization", so ?epcv is a good starting point for the code.

Author(s)

Benjamin Auder <[email protected]> [aut,cre], Gilles Celeux <[email protected]> [aut]

Maintainer: Benjamin Auder <[email protected]>


yagu0/epica documentation built on March 19, 2018, 3:09 a.m.