Fast agglomerative clustering using information of \(k\)-nearest neighbors

DOI10.1016/J.PATCOG.2010.06.021zbMath1207.68264OpenAlexW1987819498MaRDI QIDQ609105

Jim Z. C. Lai, Chih-Tang Chang, M. D. Jeng

Publication date: 30 November 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.06.021

zbMATH Keywords

vector quantizationnearest neighboragglomerative clusteringpairwise nearest neighbor algorithm

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Data structures (68P05)

Cites Work

• Fast \(k\)-nearest-neighbor search based on projection and triangular inequality
• On voting-based consensus of cluster ensembles
• Cooperative clustering
• An incremental nested partition method for data clustering
• Improvement of the fast exact pairwise-nearest-neighbor algorithm
• Efficient algorithms for divisive hierarchical clustering with the diameter criterion
• Artifact reduction of JPEG coded images using mean-removed classified vector quantization
• Image restoration of compressed image using classified vector quantization

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