Visualization classification method of multi-dimensional data based on radar chart mapping

Author

Liu, Wen-yuan ; Wang, Bao-wen ; Yu, Jia-xin ; Li, Fang ; Wang, Shui-xing ; Hong, Wen-xue

Author_Institution

Coll. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao

Volume

2

fYear

2008

fDate

12-15 July 2008

Firstpage

857

Lastpage

862

Abstract

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.

Keywords

Fourier transforms; charts; data visualisation; neural nets; pattern classification; Fourier descriptor; automatic classification; multidimensional data; multidimensional data classifier; probabilistic neural network; radar chart mapping; shape analysis; shape recognition; visualization classification method; Classification tree analysis; Cybernetics; Data visualization; Educational institutions; Graphics; Machine learning; Multidimensional systems; Neural networks; Shape; Spaceborne radar; Data visualization; Fourier descriptors; Probabilistic Neural network; Radar chart; Shape recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620524

Filename

4620524