Voronoi域模式分类器
PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION
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摘要: 提出基于模式训练的Voronoi划分向量分类器结构,指出该结构是以欧几里得距离为测量的最优模式分类器,给出M类k维(k2)Voronoi域分类器的两个判决准则和三种结构。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.
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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、系统设计及其声图文智能计算机接口中应用的研究.哈尔滨工业大学博士学位论文,1988年3月.
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