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Improved K-means Algorithm with the Pretreatment of PCA Dimension Reduction

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Abstract
 1. Introduction
 2. Description of the IWK-means Algorithm
  2.1 The Pretreatment of PCA(Principal Component Analysis)
  2.2 The Modified K-means clustering Algorithm
  2.3 The Evaluation Criteria
 3. Experiments and Results
  3.1 The IWK-means Algorithm
  3.2 The Result fo the Evaluation Criteria 
 4. Conclusions
 Acknowledgments
 References

저자정보

  • Hongtao Liu School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China
  • Chen Fang School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China
  • Yu Wu School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China
  • Ke Xu School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China
  • Tian Dai School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China

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