论文信息 - Initialization insensitive LVQ algorithm based on cost-function adaptation

Initialization insensitive LVQ algorithm based on cost-function adaptation

A learning vector quantization (LVQ) algorithm called harmonic to minimum LVQ algorithm (H2M-LVQ) 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. datasets.

A. Kai Qin | Ponnuthurai N. Suganthan | A. K. Qin | P. Suganthan

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