SMKFC-ER: semi-supervised multiple kernel fuzzy clustering based on entropy and relative entropy
type: Item
instance of: scholarly article
title: SMKFC-ER: semi-supervised multiple kernel fuzzy clustering based on entropy and relative entropy
zbMATH Open document ID: 1479.62051
author: Fariba Salehi
author: MohammadReza Keyvanpour
author: Arash Sharifi
published in: Information Sciences
publication date: 2021-12-02T00:00:00Z
Mathematics Subject Classification ID: 62H86
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62B86
zbMATH DE Number: 7437590
zbMATH Keywords: unsupervised fuzzy clustering
zbMATH Keywords: semi-supervised fuzzy clustering
zbMATH Keywords: knowledge-based fuzzy clustering
zbMATH Keywords: multiple kernel
zbMATH Keywords: entropy
zbMATH Keywords: relative entropy
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.ins.2020.08.094
OpenAlex ID: W3081852103
cites work: Enhancement of fuzzy clustering by mechanisms of partial supervision
cites work: A new credibilistic clustering algorithm
cites work: Gaussian clustering method based on maximum-fuzzy-entropy interpretation
cites work: Collaborative fuzzy clustering
cites work: Knowledge‐Based Clustering
cites work: Fuzzy granular gravitational clustering algorithm for multivariate data
cites work: Q5312442
cites work: A discrete-valued clustering algorithm with applications to biomolecular data
cites work: Interval type-2 relative entropy fuzzy C-means clustering
cites work: Relative entropy fuzzy \(c\)-means clustering
cites work: Relative entropy collaborative fuzzy clustering method
DOI: 10.1016/J.INS.2020.08.094
description: scientific article; zbMATH DE number 7437590