PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION

Gao Wen; Hu Mingzheng; Masao Saito

Volume 11 Issue 6

Nov. 1989

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Gao Wen, Hu Mingzheng, Masao Saito. PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION[J]. Journal of Electronics & Information Technology, 1989, 11(6): 637-642.

Citation:

Gao Wen, Hu Mingzheng, Masao Saito. PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION[J]. Journal of Electronics & Information Technology, 1989, 11(6): 637-642.

Gao Wen, Hu Mingzheng, Masao Saito. PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION[J]. Journal of Electronics & Information Technology, 1989, 11(6): 637-642.

Citation:

Gao Wen, Hu Mingzheng, Masao Saito. PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION[J]. Journal of Electronics & Information Technology, 1989, 11(6): 637-642.

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PATTERN CLASSIFIER STRUCTURE ON VORONOI REGION

Gao Wen^{①;胡铭曾},
Hu Mingzheng,
Masao Saito

Received Date: 1987-12-03
Rev Recd Date: 1988-03-31
Publish Date: 1989-11-19

Abstract

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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References(1)

References

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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