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Using FCM to Select Samples in Semi-Supervised Classification

Chao Zhang Jian-Mei Cheng Liang-Zhong Yi

电子科技学刊2012,Vol.10Issue(2):130-134,5.
电子科技学刊2012,Vol.10Issue(2):130-134,5.DOI:10.3969/j.issn.1674-862X.2012.02.007

Using FCM to Select Samples in Semi-Supervised Classification

Using FCM to Select Samples in Semi-Supervised Classification

Chao Zhang 1Jian-Mei Cheng 1Liang-Zhong Yi2

作者信息

  • 1. Department of Road Traffic Management,Sichuan Police College,Luzhou 646000,China
  • 2. Sichuan Police College,Luzhou 646000,China
  • 折叠

摘要

关键词

Fuzzy c-means clustering/fuzzy k-nearest neighbor classifier/instance selection

Key words

Fuzzy c-means clustering/fuzzy k-nearest neighbor classifier/instance selection

引用本文复制引用

Chao Zhang,Jian-Mei Cheng,Liang-Zhong Yi..Using FCM to Select Samples in Semi-Supervised Classification[J].电子科技学刊,2012,10(2):130-134,5.

基金项目

This work was supported by the National Natural Science Foundation under Grant No.61175055 and No.61105059.The authors would like to thank the support of research funds of Sichuan Key Laboratory of Intelligent Network Information Processing under Grant No.SGXZD1002-10 and Sichuan Key Technology Research and Development Program under Grant No.2012GZ0019 and No.2011FZ0051. ()

电子科技学刊

1674-862X

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