Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting

Kernel functions have been used successfully in clustering algorithms to deal with the separability of clusters efficiently. Bringing this idea to co-clustering, we propose two kernel-based fuzzy co-clustering algorithms based on the fuzzy double Kmeans (FDK). The first proposed algorithm, the Gauss...

Full description

Bibliographic Details

Published in:	IEEE International Fuzzy Systems conference proceedings pp. 1 - 8
Main Authors:	de Sa, Jose Nataniel A., Ferreira, Marcelo R.P., de Carvalho, Francisco de A.T.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 18.07.2022
Subjects:	Clustering algorithms Entropy Indexes Kernel Measurement Partitioning algorithms Prototypes
ISSN:	1558-4739
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!