Improvement of the \(k\)-means clustering filtering algorithm

DOI10.1016/j.patcog.2008.06.005zbMath1173.68671OpenAlexW2028954846MaRDI QIDQ947996

Yi-Ching Liaw, Jim Z. C. Lai

Publication date: 8 October 2008

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.06.005

zbMATH Keywords

knowledge discovery\(k\)-means clusteringnearest-neighbor search

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

Fast global \(k\)-means clustering using cluster membership and inequality ⋮ Quantization-based clustering algorithm ⋮ An efficient \(k\)-means clustering filtering algorithm using density based initial cluster centers

Cites Work

• Artifact reduction of JPEG coded images using mean-removed classified vector quantization
• Multidimensional Binary Search Trees in Database Applications
• Image restoration of compressed image using classified vector quantization

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