A novel approach for vector quantization using a neural network, mean shift, and principal component analysis-based seed re-initialization

DOI10.1016/J.SIGPRO.2006.08.006zbMath1186.94143OpenAlexW2029332029MaRDI QIDQ970738

Chin-Chuan Han, Ying-Nong Chen, Chih-Chung Lo, Cheng-Tzu Wang

Publication date: 19 May 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2006.08.006

zbMATH Keywords

neural networkprincipal component analysisvector quantizationmean shiftELBG algorithm

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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