Voronoi域模式分類(lèi)器
PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION
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摘要: 提出基于模式訓(xùn)練的Voronoi劃分向量分類(lèi)器結(jié)構(gòu),指出該結(jié)構(gòu)是以歐幾里得距離為測(cè)量的最優(yōu)模式分類(lèi)器,給出M類(lèi)k維(k2)Voronoi域分類(lèi)器的兩個(gè)判決準(zhǔn)則和三種結(jié)構(gòu)。
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關(guān)鍵詞:
- 向量分類(lèi)器; 模式分類(lèi); 向量量化; 模式識(shí)別
Abstract: A new structure of vector classifiers, based upon space partition of voronot region according to a pattern set gem-rated by classed patterns training, is presented. The fact that this structure is an optimal pattern classifier on Euclidean distance is shown. Two decision rules and three kinds of M classes and k-dimension classifier structures on voronoi region are given. -
D. T. Lee, F. P. Preparate, IEEE Trans. on C, C-33 (1984),1072-1101.[2]N. Ahmed, K. R. Rao, Orthogonal Transforms for digital Signal Processing, New York.Springer Verlag, 1975.[3]高文,向量量化原理、系統(tǒng)設(shè)計(jì)及其聲圖文智能計(jì)算機(jī)接口中應(yīng)用的研究.哈爾濱工業(yè)大學(xué)博士學(xué)位論文,1988年3月. -
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