compute.similarity.ZP

points

<p>nombre de voisin qui seront selectionnes</p>

vois

<p>sigma local, attention risque matrice non semi-def positive</p>

Toolbox containing a variety of spectral clustering tools functions. Among the tools available are the hierarchical spectral clustering algorithm, the Shi and Malik clustering algorithm, the Perona and Freeman algorithm, the non-normalized clustering, the Von Luxburg algorithm, the Partition Around Medoids clustering algorithm, a multi-level clustering algorithm, recursive clustering and the fast method for all clustering algorithm. As well as other tools needed to run these algorithms or useful for unsupervised spectral clustering. This toolbox aims to gather the main tools for unsupervised spectral classification. See <http://mawenzi.univ-littoral.fr/> for more information and documentation.

Emilie Poisson-Caillault

sClust

R Toolbox for Unsupervised Spectral Clustering

Alain Lefebvre

Erwan Vincent

Pierre-Alexandre Hebert

compute.similarity.ZP function

Calcule matrice de similarite gaussienne selon Zelnik-Manor et Perona — compute.similarity.ZP

Calcule matrice de similarite gaussienne selon Zelnik-Manor et Perona

compute.similarity.ZP: Calcule matrice de similarite gaussienne selon Zelnik-Manor et Perona

Description

Usage

Arguments

Value