A novel unsupervised feature selection method for bioinformatics data sets through feature clustering

2008 IEEE International Conference on Granular Computing, GRC 2008

Volumn , Issue , 2008, Pages 41-47

  Li, Guangrong ^a,b   Hu, Xiaohua ^c,d   Shen, Xiajiong ^d   Chen, Xin ^c   Li, Zhoujun ^e  

^a WUHAN UNIVERSITY   (China)

^b HUNAN UNIVERSITY   (China)

^c Drexel University   (United States)

^d HENAN UNIVERSITY   (China)

^e BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; COMPUTER AIDED DIAGNOSIS; EDUCATION; FEATURE EXTRACTION; GENE EXPRESSION; IMAGE SEGMENTATION; KNOWLEDGE BASED SYSTEMS; LEARNING ALGORITHMS; QUALITY ASSURANCE; REDUNDANCY; RELIABILITY; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

BIOINFORMATICS DATUMS; BIOLOGICAL DATUMS; CLASS LABELS; DATA SETS; FEATURE CLUSTERING; FEATURE REDUNDANCIES; FEATURE SELECTION ALGORITHMS; FEATURE SELECTION METHODS; FEATURE SELECTIONS; FEATURE SIMILARITIES; GENE EXPRESSION ANALYSIS; HIGHDIMENSIONAL DATUMS; QUALITY OF CLUSTERING; TEXT MININGS; UNSUPERVISED FEATURE SELECTIONS;

DATA REDUCTION;

EID: 57949100571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GRC.2008.4664788     Document Type: Conference Paper

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