A three-way clustering approach for handling missing data using GTRS
type: Item
instance of: scholarly article
title: A three-way clustering approach for handling missing data using GTRS
zbMATH Open document ID: 1451.62070
author: Mohammad Khan Afridi
author: Nouman Azam
author: Eisa Alanazi
author: Jingtao Yao
published in: International Journal of Approximate Reasoning
publication date: 2018-06-22T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62D10
Mathematics Subject Classification ID: 62C25
Mathematics Subject Classification ID: 60L90
Mathematics Subject Classification ID: 91A40
zbMATH DE Number: 6893194
zbMATH Keywords: clustering
zbMATH Keywords: three-way decisions
zbMATH Keywords: game-theoretic rough sets (GTRS)
zbMATH Keywords: missing data
zbMATH Keywords: uncertainty
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.ijar.2018.04.001
OpenAlex ID: W2796438895
cites work: Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets
cites work: Q4139463
cites work: Cluster Analysis
cites work: Q5532850
cites work: Game-theoretic rough sets
cites work: Different approaches to fuzzy clustering of incomplete datasets
cites work: An Outline of a Theory of Three-Way Decisions
cites work: Rough Sets and Three-Way Decisions
cites work: A Three-Way Decisions Clustering Algorithm for Incomplete Data
Wikidata QID: Q130021448
DOI: 10.1016/J.IJAR.2018.04.001
description: scientific article; zbMATH DE number 6893194