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Volumn 8272 LNAI, Issue , 2013, Pages 214-220

Particle swarm optimisation and statistical clustering for feature selection

Author keywords

Feature selection; Particle swarm optimisation; Statistical clustering

Indexed keywords

BENCHMARK DATASETS; CLASSIFICATION PERFORMANCE; FEATURE INTERACTIONS; FEATURE SELECTION ALGORITHM; FEATURE SUBSET; GREEDY FORWARD; PARTICLE SWARM OPTIMISATION; STATISTICAL CLUSTERING;

EID: 84893720363     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-03680-9_23     Document Type: Conference Paper
Times cited : (28)

References (11)
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    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • Dash, M., Liu, H.: Feature selection for classification. Intelligent Data Analysis 1, 131-156 (1997)
    • (1997) Intelligent Data Analysis , vol.1 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 5
  • 6
    • 33845523839 scopus 로고    scopus 로고
    • Feature selection based on rough sets and particle swarm optimization
    • Wang, X., Yang, J., Teng, X., Xia, W.: Feature selection based on rough sets and particle swarm optimization. Pattern Recognition Letters 28, 459-471 (2007)
    • (2007) Pattern Recognition Letters , vol.28 , pp. 459-471
    • Wang, X.1    Yang, J.2    Teng, X.3    Xia, W.4
  • 9
    • 84889103165 scopus 로고    scopus 로고
    • Multivariate methods using mixtures: Correspondence analysis, scaling and pattern detection
    • Pledger, S., Arnold, R.: Multivariate methods using mixtures: correspondence analysis, scaling and pattern detection. Computational Statistics and Data Analysis (2013), http://dx.doi.org/10.1016/j.csda.2013.05.013
    • (2013) Computational Statistics and Data Analysis
    • Pledger, S.1    Arnold, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.