modal-inria/Kernalytics

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Created over 5 years ago
Updated almost 5 years ago

modal-inria/Kernalytics

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Kernel methods for data analysis in a modular package.

MixtComp

Model-based clustering package for mixed data

Jupyter Notebook

cfda

Categorical Functional Data Analysis

MLGL

Procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data

HDPenReg

Algorithms for lasso and fused-lasso problems: implementation of the lars algorithm for lasso and fusion penalization and EM-based algorithms for (logistic) lasso and fused-lasso penalization.

Rankcluster

Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) doi:10.1016/j.csda.2012.08.008 ).