Semi-supervised outlier detection based on fuzzy rough \(c\)-means clustering
type: Item
instance of: scholarly article
title: Semi-supervised outlier detection based on fuzzy rough \(c\)-means clustering
zbMATH Open document ID: 1191.62115
author: Zhenxia Xue
author: Aifen Feng
author: Youlin Shang
published in: Mathematics and Computers in Simulation
publication date: 2010-07-28T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62H86
zbMATH DE Number: 5762167
zbMATH Keywords: pattern recognition
zbMATH Keywords: outlier detection
zbMATH Keywords: semi-supervised learning
zbMATH Keywords: rough sets
zbMATH Keywords: fuzzy sets
zbMATH Keywords: \(c\)-means clustering
describes a project that uses: LOF
MaRDI profile type: Publication
full work available at URL: j.matcom.2010.02.007
OpenAlex ID: W1982418571
cites work: Q3779565
cites work: Q3969900
cites work: Some Recent Investigations of a New Fuzzy Partitioning Algorithm and its Application to Pattern Classification Problems
cites work: Interval set clustering of web users with rough \(K\)-means
cites work: Q5617409
DOI: 10.1016/J.MATCOM.2010.02.007
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description: scientific article; zbMATH DE number 5762167