Sparse k-means for mixed data via group-sparse clustering
Langue
en
Communication dans un congrès
Ce document a été publié dans
ESANN 2020 - 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020-10-02, Bruges / Virtual. 2020-10-02, vol. 978-2-87587-074-2
Résumé en anglais
The present manuscript tackles the issue of variable selection for clustering, in high dimensional data described both by numerical and categorical features. First, we build upon the sparse k-means algorithm with lasso ...Lire la suite >
Mots clés en anglais
Clustering
Kmeans algorithm
Variables selection
Sparse Models
Lasso penalty
Group lasso
Interpretability
Explainability
Weighted Kmeans