Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection-Reference-Cited by-同舟云学术

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Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection

Published:2024-07-17 Issue:5 Volume:34 Page:
ISSN:0960-3174
Container-title:Statistics and Computing
language:en
Short-container-title:Stat Comput

Author:

Ohl Louis,Mattei Pierre-Alexandre,Bouveyron Charles,Leclercq Mickaël,Droit Arnaud,Precioso Frédéric

Funder

Agence Nationale de la Recherche

Horizon 2020

Fond France Canada pour la Recheche

Health Data Hub

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11222-024-10467-9.pdf

Reference61 articles.

1. Abeshouse, A., Ahn, J., Akbani, R., Ally, A., Amin, S., Andry, C.D., Annala, M., Aprikian, A., Armenia, J., Arora, A., et al.: The molecular taxonomy of primary prostate cancer. Cell 163(4), 1011–1025 (2015)

2. Alelyani, S., Tang, J., Liu, H.: Feature selection for clustering: a review. Data Clustering 29–60 (2018)

3. Andrews, J.L., McNicholas, P.D.: Variable Selection for Clustering and Classification. arXiv preprint (2013)

4. Andrews, J.L., McNicholas, P.D.: Variable selection for clustering and classification. J. Classif. 31(2), 136–153 (2014)

5. Bach, F., Jenatton, R., Mairal, J., Obozinski, G., et al.: Optimization with sparsity-inducing penalties. Found. Trends Mach. Learn. 4(1), 1–106 (2012)

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