Comparison of algorithms for clustering incomplete data
type: Item
instance of: scholarly article
title: Comparison of algorithms for clustering incomplete data
zbMATH Open document ID: 1328.62016
author: Artur Matyja
author: Krzysztof Simiński
published in: Foundations of Computing and Decision Sciences
publication date: 2016-01-04T00:00:00Z
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6525798
zbMATH Keywords: clustering
zbMATH Keywords: incomplete data
zbMATH Keywords: missing value
zbMATH Keywords: marginalisation
zbMATH Keywords: imputation
zbMATH Keywords: IFCM
zbMATH Keywords: OCS
zbMATH Keywords: NPS
zbMATH Keywords: NCS
Wikidata QID: Q57739341
cites work: JStatCom
cites work: Alternative Approaches to Missing Values in Discriminant Analysis
cites work: Fuzzy and neuro-fuzzy intelligent systems
cites work: Q4139463
cites work: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
cites work: Q4709294
cites work: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
cites work: Q3894799
cites work: Q3816821
cites work: Fuzzy Sets and Decisionmaking Approaches in Vowel and Speaker Recognition
cites work: Neuro-rough-fuzzy approach for regression modelling from missing data
cites work: Clustering with Missing Values
describes a project that uses: JStatCom
describes a project that uses: impute
describes a project that uses: KEEL
MaRDI profile type: Publication
full work available at URL: fcds-2014-0007
OpenAlex ID: W1987162071
DOI: 10.2478/FCDS-2014-0007
description: scientific article; zbMATH DE number 6525798