Quantization-based clustering algorithm

DOI10.1016/j.patcog.2010.02.020zbMath1213.68557OpenAlexW2086178513MaRDI QIDQ975175

Hau-San Wong, Zhiwen Yu

Publication date: 8 June 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.02.020

zbMATH Keywords

histogramclustering algorithmK-means

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Pattern recognition, speech recognition (68T10)

Uses Software

• GAPS
• UCI-ml
• ROCK

Cites Work

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• Faster and more robust point symmetry-based K-means algorithm
• Improvement of the \(k\)-means clustering filtering algorithm
• GAPS: A clustering method using a new point symmetry-based distance measure
• A central limit theorem for k-means clustering
• On approximate geometric \(k\)-clustering
• A fast \(k\)-means clustering algorithm using cluster center displacement
• K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
• Least squares quantization in PCM
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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