MixAll: Clustering Heterogenous data with Missing Values

Abstract

The Clustering project is a part of the STK++ library (Iovleff 2012) that can be accessed from R (R Development Core Team 2013) using the MixAll package. It is possible to cluster Gaussian, gamma, categorical, Poisson, kernel mixture models or a combination of these models in case of heterogeneous data. Moreover, if there is missing values in the original… (More)

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Cite this paper

@inproceedings{Iovleff2015MixAllCH, title={MixAll: Clustering Heterogenous data with Missing Values}, author={Serge Iovleff}, year={2015} }