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Classification by ensembles from random partitions of high-dimensional data

Author

Listed:
  • Ahn, Hongshik
  • Moon, Hojin
  • Fazzari, Melissa J.
  • Lim, Noha
  • Chen, James J.
  • Kodell, Ralph L.

Abstract

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Suggested Citation

  • Ahn, Hongshik & Moon, Hojin & Fazzari, Melissa J. & Lim, Noha & Chen, James J. & Kodell, Ralph L., 2007. "Classification by ensembles from random partitions of high-dimensional data," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6166-6179, August.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:12:p:6166-6179
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    References listed on IDEAS

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    1. Dudoit S. & Fridlyand J. & Speed T. P, 2002. "Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 77-87, March.
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    Cited by:

    1. Leoni, Leonardo & De Carlo, Filippo & Abaei, Mohammad Mahdi & BahooToroody, Ahmad & Tucci, Mario, 2023. "Failure diagnosis of a compressor subjected to surge events: A data-driven framework," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    2. Yu-Chuan Chen & Hyejung Ha & Hyunjoong Kim & Hongshik Ahn, 2014. "Canonical Forest," Computational Statistics, Springer, vol. 29(3), pages 849-867, June.
    3. Hongshik Ahn, 2014. "Discussion," International Statistical Review, International Statistical Institute, vol. 82(3), pages 357-359, December.
    4. Rokach, Lior, 2009. "Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4046-4072, October.
    5. Abhijeet R Patil & Sangjin Kim, 2020. "Combination of Ensembles of Regularized Regression Models with Resampling-Based Lasso Feature Selection in High Dimensional Data," Mathematics, MDPI, vol. 8(1), pages 1-23, January.

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