Initialization insensitive LVQ algorithm based on cost-function adaptation

doi:10.1016/j.patcog.2004.11.011

Initialization insensitive LVQ algorithm based on cost-function adaptation

2005-05-01

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A

A. K. Qin

P

Ponnuthurai Nagaratnam Suganthan

DOI：10.1016/j.patcog.2004.11.011

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A learning vector quantization (LVQ) algorithm called harmonic to minimum LVQ algorithm (H2M-LVQ)(1) is presented to tackle the initialization sensitiveness problem associated with the original generalized LVQ (GLVQ) algorithm. Experimental results show superior performance of the H2M-LVQ algorithm over the GLVQ and one of its variants on several datasets. (C) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

Keyword:

generalized learning vector quantization

harmonic average distance

initialization sensitiveness

Initialization insensitive LVQ algorithm based on cost-function adaptation

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