Vector quantization based approximate spectral clustering of large datasets

Kadim Taşdemi̇r

doi:10.1016/j.patcog.2012.02.012

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Vector quantization based approximate spectral clustering of large datasets

Kadim Taşdemi̇r

Year: 2012 Journal: Pattern Recognition Vol: 45 (8)Pages: 3034-3044 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2012.02.012

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Keywords:

Cluster analysis Vector quantization Spectral clustering Pattern recognition (psychology) Quantization (signal processing) Computer science Artificial intelligence Sampling (signal processing) Similarity (geometry) Correlation clustering Artificial neural network Similarity measure Mathematics Algorithm Data mining Computer vision Image (mathematics)

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Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Vector quantization based approximate spectral clustering of large datasets

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