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Conference papers
Sparse Divisive Feature Clustering
Abstract : We propose an approach based on a divisive algorithm for clustering variables in order to identify in a large data table underlying dimensions that are not necessarily orthogonal. The number of clusters does not have to be defined in advance. The clusters, which are as unidimensional as possible, are then represented in a parsimonious way by a small number of variables or components.
https://hal-cnam.archives-ouvertes.fr/hal-03475860
Contributor : Gilbert Saporta Connect in order to contact the contributor
Submitted on : Saturday, December 11, 2021 - 4:08:03 PM
Last modification on : Wednesday, September 28, 2022 - 5:50:15 AM
Long-term archiving on: : Saturday, March 12, 2022 - 6:22:12 PM
Contributor : Gilbert Saporta Connect in order to contact the contributor
Submitted on : Saturday, December 11, 2021 - 4:08:03 PM
Last modification on : Wednesday, September 28, 2022 - 5:50:15 AM
Long-term archiving on: : Saturday, March 12, 2022 - 6:22:12 PM
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