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基于多维数据列向量2D图表示的多维筛可视化组合分类器
引用本文:洪文学,张涛,宋佳霖,王金甲,徐永红.基于多维数据列向量2D图表示的多维筛可视化组合分类器[J].燕山大学学报,2008,32(5).
作者姓名:洪文学  张涛  宋佳霖  王金甲  徐永红
作者单位:燕山大学,电气工程学院,河北,秦皇岛,066004
摘    要:提出一种新型的可视化组合分类器--多维筛分类器.该分类器集成了属性数据的2D图表示、图像处理与模式识别技术.其根本思想是将数据矩阵的属性数据映射为2D多元图,然后将多元图通过像素图及图像处理技术转换为子分类器,利用组合分类器规则将各子分类器构成多维筛可视化组合分类器.通过引入交互式方法,选择最优多元图用于分类.通过对Iris数据集的分类试验表示,散点图多维筛与极坐标多维筛的分类精度可以达到98.67%和97.33%.

关 键 词:模式识别  可视化组合分类器  图表示  交互式

A novel visual combining classifier based on 2D graphical representation of the column in multivariate matrix
HONG Wen-xue,ZHANG Tao,SONG Jia-lin,WANG Jin-jia,XU Yong-hong.A novel visual combining classifier based on 2D graphical representation of the column in multivariate matrix[J].Journal of Yanshan University,2008,32(5).
Authors:HONG Wen-xue  ZHANG Tao  SONG Jia-lin  WANG Jin-jia  XU Yong-hong
Institution:HONG Wen-xue 1,ZHANG Tao 1,SONG Jia-lin 1,WANG Jin-jia 1,XU Yong-hong 1 (1. College of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China)
Abstract:A novel visual combining classifier (VCC), which integrates two-dimensional graphical representation of the attribute data, image processing and pattern recognition techniques together, is proposed. The basic process of the VCC is as follows: map attribute data of a data matrix to the two-dimensional graphs, transform these graphs to sub classifiers by pixel graphs, and combin the sub classifiers by decision rules. By interactive approaches, the optimum graphs for classification could be chosen and then pat...
Keywords:pattern recognition  visual combining classifier  graphical representation  interactive  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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