kmeansQuantization

dataFrame

maximum of sample number for reduction.

maxData

criterion for minimizing intra-group distance and select final smplPoint.

stopCriteria

The function use kmeans algorithm to perform data quantization.

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

kmeansQuantization: Data quantization

Description

Usage

Arguments

Value