
Proceedings Paper
Algorithm comparison of regional economic resources niche categoriesFormat | Member Price | Non-Member Price |
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Paper Abstract
Firstly, regional economic classification was made by clustering algorithms, which could be referenced by
Support Vector Machine classification. Then Support Vector Machine classification was made to classificatory regional
economic resources niche. Furthermore, more detailed classification was made under different economic resources niche
indicators, which solve the problem of inadequate samples, making Categories strong operational and practical
significance. Thus, more reasonable classification could be made by support vector machine model through the
establishment of relatively small samples.
Paper Details
Date Published: 8 July 2011
PDF: 4 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80093I (8 July 2011); doi: 10.1117/12.896563
Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)
PDF: 4 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80093I (8 July 2011); doi: 10.1117/12.896563
Show Author Affiliations
Lv Qi, North China Univ. of Water Resources and Electric Power (China)
Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)
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