Sparse k-means for mixed data via group-sparse clustering
Idioma
en
Communication dans un congrès
Este ítem está publicado en
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
Resumen en inglés
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 ...Leer más >
Palabras clave en inglés
Clustering
Kmeans algorithm
Variables selection
Sparse Models
Lasso penalty
Group lasso
Interpretability
Explainability
Weighted Kmeans