X-Git-Url: https://git.auder.net/?p=valse.git;a=blobdiff_plain;f=pkg%2FDESCRIPTION;h=ed3eb2f01bcf65d379a0681e0d7c2a18a04faa42;hp=13fee37e772fdedc7184ff2936b976ba27050e13;hb=6382130f19d2de72fed32c91c5431caa6481dbf3;hpb=64cceb2ece0d8142fee3e82e1cc56e20261caf45 diff --git a/pkg/DESCRIPTION b/pkg/DESCRIPTION index 13fee37..ed3eb2f 100644 --- a/pkg/DESCRIPTION +++ b/pkg/DESCRIPTION @@ -8,9 +8,10 @@ Description: Two methods are implemented to cluster data with finite mixture A low-rank constraint could be added, computed for the Lasso-Rank procedure. A collection of models is constructed, varying the level of sparsity and the number of clusters, and a model is selected using a model selection criterion - (slope heuristic, BIC or AIC). Details of the procedure are provided in 'Model- - based clustering for high-dimensional data. Application to functional data' by - Emilie Devijver, published in Advances in Data Analysis and Clustering (2016). + (slope heuristic, BIC or AIC). Details of the procedure are provided in + "Model-based clustering for high-dimensional data. Application to functional data" + by Emilie Devijver (2016) , + published in Advances in Data Analysis and Clustering. Author: Benjamin Auder [aut,cre], Emilie Devijver [aut], Benjamin Goehry [ctb]