Fuzzy C-means clustering based on dual expression between cluster prototypes and reconstructed data
type: Item
instance of: scholarly article
title: Fuzzy C-means clustering based on dual expression between cluster prototypes and reconstructed data
zbMATH Open document ID: 1429.62274
author: Peng Zhang
published in: International Journal of Approximate Reasoning
publication date: 2017-11-17T00:00:00Z
Mathematics Subject Classification ID: 62H86
Mathematics Subject Classification ID: 62D10
Mathematics Subject Classification ID: 62P30
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6808380
zbMATH Keywords: fuzzy clustering
zbMATH Keywords: fuzzy C-means
zbMATH Keywords: reconstructed data
zbMATH Keywords: dual expression
zbMATH Keywords: parameter selection
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.ijar.2017.08.008
OpenAlex ID: W2750557327
cites work: Q3969900
cites work: Granular fuzzy models: analysis, design, and evaluation
cites work: c-means clustering with the l/sub l/ and l/sub infinity / norms
cites work: Q3894799
cites work: Partitional fuzzy clustering methods based on adaptive quadratic distances
cites work: Relative entropy fuzzy \(c\)-means clustering
cites work: LinkFCM: relation integrated fuzzy \(c\)-means
cites work: New modifications and applications of fuzzy \(C\)-means methodology
cites work: Suppressed fuzzy c-means clustering algorithm
cites work: Collaborative fuzzy clustering
cites work: Local convergence of tri-level alternating optimization
cites work: Q3965383
DOI: 10.1016/J.IJAR.2017.08.008
description: scientific article; zbMATH DE number 6808380