Initialization insensitive LVQ algorithm based on cost-function adaptation |
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| Authors: | AK Qin |
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| Affiliation: | School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798 |
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| Abstract: | 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. |
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| Keywords: | Generalized learning vector quantization Harmonic average distance Initialization sensitiveness |
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