Research and application of improved K-means algorithm based on fuzzy feature selection

Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008

Volumn 1, Issue , 2008, Pages 401-405

  Li, Xiuyun ^a   Yang, Jie ^a   Wang, Qing ^a   Fan, Jinjin ^a   Liu, Peng ^a  

^a SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; CLUSTER ALGORITHMS; DATA SETS; FUZZY FEATURE SELECTIONS; HUMAN RESOURCES; IRRELEVANT FEATURES; K-MEANS ALGORITHMS; RESEARCH AND APPLICATIONS; SIMILARITY MEASURES;

BAYESIAN NETWORKS; DECISION THEORY; DECISION TREES; FEATURE EXTRACTION; FUZZY LOGIC; FUZZY SYSTEMS; INFORMATION MANAGEMENT; MATHEMATICAL MODELS; TREES (MATHEMATICS);

CLUSTERING ALGORITHMS;

EID: 58149125512     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2008.451     Document Type: Conference Paper

References (3)

1. Manoranjan Dash, and Huan Liu, "Feature Selection for Clustering", Proceedings of the Fourth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2000.
2. Peng Liu, Naijun Wu, Jiaxian Zhu, Junjie Yin, and Wei Zhang, "A Unified Strategy of Feature Selection", Lecture Notes in Artificial Intelligence, 2006, Vol. 4093, pp. 457-464.
3. Peng Liu, and Jaxian Zhu, "Feature Selection for Unsupervised Learning Based on Attribute Correlation Analysis and Clustering Algorithm", An International Journal: Intelligent Information Management Systems and Technologies, USA, Mar 2006, vol. 2, No. 1, pp. 168-174.