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A Framework for Feature Selection in Clustering

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  • Witten, Daniela M.
  • Tibshirani, Robert

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  • Witten, Daniela M. & Tibshirani, Robert, 2010. "A Framework for Feature Selection in Clustering," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 713-726.
  • Handle: RePEc:bes:jnlasa:v:105:i:490:y:2010:p:713-726
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2010.tm09415
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    Cited by:

    1. repec:eee:jmvana:v:161:y:2017:i:c:p:191-212 is not listed on IDEAS
    2. Emily, Mathieu & Hitte, Christophe & Mom, Alain, 2016. "SMILE: A novel dissimilarity-based procedure for detecting sparse-specific profiles in sparse contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 171-188.
    3. repec:spr:jclass:v:34:y:2017:i:3:d:10.1007_s00357-017-9240-z is not listed on IDEAS
    4. Bouveyron, Charles & Brunet-Saumard, Camille, 2014. "Model-based clustering of high-dimensional data: A review," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 52-78.
    5. Floriello, Davide & Vitelli, Valeria, 2017. "Sparse clustering of functional data," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 1-18.
    6. Clémençon, Stéphan, 2014. "A statistical view of clustering performance through the theory of U-processes," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 42-56.
    7. Arias-Castro, Ery & Pu, Xiao, 2017. "A simple approach to sparse clustering," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 217-228.
    8. repec:bla:jorssb:v:79:y:2017:i:5:p:1527-1546 is not listed on IDEAS
    9. Fang, Yixin & Wang, Junhui, 2012. "Selection of the number of clusters via the bootstrap method," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 468-477.
    10. Huaihou Chen & Philip T. Reiss & Thaddeus Tarpey, 2014. "Optimally weighted L-super-2 distance for functional data," Biometrics, The International Biometric Society, vol. 70(3), pages 516-525, September.
    11. Fraiman, Ricardo & Gimenez, Yanina & Svarc, Marcela, 2016. "Feature selection for functional data," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 191-208.
    12. repec:eee:csdana:v:116:y:2017:i:c:p:139-154 is not listed on IDEAS
    13. repec:spr:psycho:v:82:y:2017:i:4:d:10.1007_s11336-017-9578-5 is not listed on IDEAS
    14. Rendon Aguirre, Janeth Carolina & Prieto Fernández, Francisco Javier & Peña Sánchez de Rivera, Daniel, 2017. "Clustering Big Data by Extreme Kurtosis Projections," DES - Working Papers. Statistics and Econometrics. WS 24522, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Jeffrey Andrews & Paul McNicholas, 2014. "Variable Selection for Clustering and Classification," Journal of Classification, Springer;The Classification Society, vol. 31(2), pages 136-153, July.
    16. Charles Bouveyron & Camille Brunet-Saumard, 2014. "Discriminative variable selection for clustering with the sparse Fisher-EM algorithm," Computational Statistics, Springer, vol. 29(3), pages 489-513, June.

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