Fast clustering algorithm for vector quantisation |
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Authors: | SeongJoon Baek BumKi Jeon Daeryong Lee Koeng-Mo Sung |
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Affiliation: | Appl. Electron. Lab., Seoul Nat. Univ.; |
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Abstract: | A fast clustering algorithm is presented as an alternative to the K-means algorithm. By encoding training vectors selectively and changing the codebook updating step, the algorithm reduces the computation time. Simulations show that the algorithm outperforms the K-means algorithm in computation time and performance in terms of mean-squared-error |
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