VISUALIZATION CLASSIFICATION METHOD OF MULTI-DIMENSIONAL DATA BASED ON RADAR CHART MAPPING

摘要：

Fourier descriptor is an important method used in shape analysis and recognition. A novel method for designing the classifier of multi-dimensional data was proposed, which used radar chart of multi-statistics to show multidimensional data and applied Fourier Descriptors to recognize the radar chart. Different multi-dimensional data formed different radar chart and distinguished different category. Then a new Fourier descriptor based on polar radius is defined, which describes curve of radar chart shape. The method of Probabilistic Neural network combined with Fourier Descriptors is used to implement automatic classification. Experimental results show this method has the good classification precision, and may compare with the traditional classifier.

关键词： Data visualization Radar chart Fourier descriptors Shape recognition Probabilistic Neural network

作者: WEN-YUAN LIU BAO-WEN WANG JIA-XIN YU FANG LI SHUI-XING WANG WEN-XUE HONG

作者单位: College of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004,China College of Electrical Engineering, Yanshan University, Qinhuangdao, 066004, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 857-862

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）