Search results for "Linde–Buzo–Gray algorithm"

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Learning vector quantization with alternative distance criteria

2003

An adaptive algorithm for training of a nearest neighbour (NN) classifier is developed in this paper. This learning rule has some similarity to the well-known LVQ method, but uses the nearest centroid neighbourhood concept to estimate optimal locations of the codebook vectors. The aim of this approach is to improve the performance of the standard LVQ algorithms when using a very small codebook. The behaviour of the learning technique proposed here is experimentally compared to those of the plain k-NN decision rule and the LVQ algorithms.

Linde–Buzo–Gray algorithmLearning vector quantizationArtificial neural networkAdaptive algorithmbusiness.industryCodebookVector quantizationPattern recognitionDecision ruleMachine learningcomputer.software_genreComputingMethodologies_PATTERNRECOGNITIONLearning ruleArtificial intelligencebusinesscomputerMathematicsProceedings 10th International Conference on Image Analysis and Processing
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