Some refinements of rough \(k\)-means clustering

DOI10.1016/j.patcog.2006.02.002zbMath1094.68086OpenAlexW2048404808MaRDI QIDQ2496307

Georg Peters

Publication date: 12 July 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.02.002

zbMATH Keywords

soft computingdata analysiscluster algorithmsforest datarough \(k\)-meansbioinformatics data

Mathematics Subject Classification ID

Analysis of algorithms (68W40) Pattern recognition, speech recognition (68T10)

Related Items (12)

An efficient color quantization based on generic roughness measure ⋮ A new initialization and performance measure for the rough \(k\)-means clustering ⋮ NN-EVCLUS: neural network-based evidential clustering ⋮ External Indices for Rough Clustering ⋮ Improved interval type-2 fuzzy K-means clustering based on adaptive iterative center with new defuzzification method ⋮ Multigranulation rough-fuzzy clustering based on shadowed sets ⋮ Shadowed \(c\)-means: integrating fuzzy and rough clustering ⋮ Improved roughk-means clustering algorithm based on weighted distance measure with Gaussian function ⋮ Evolutionary Rough k-Medoid Clustering ⋮ Rough Clustering with Partial Supervision ⋮ Objective function-based rough membership C-means clustering ⋮ Detecting outliers in categorical data through rough clustering

Uses Software

• clusfind

Cites Work

• Interval set clustering of web users with rough \(K\)-means
• Mathematical classification and clustering
• ROUGH FUZZY SETS AND FUZZY ROUGH SETS*
• Finding Groups in Data
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Some refinements of rough \(k\)-means clustering