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Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data

Author

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  • Liu, Yufeng
  • Hayes, David Neil
  • Nobel, Andrew
  • Marron, J. S

Abstract

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Suggested Citation

  • Liu, Yufeng & Hayes, David Neil & Nobel, Andrew & Marron, J. S, 2008. "Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 1281-1293.
    • Handle: RePEc:bes:jnlasa:v:103:i:483:y:2008:p:1281-1293
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    Citations

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    Cited by:

    1. Krzanowski, Wojtek J. & Hand, David J., 2009. "A simple method for screening variables before clustering microarray data," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2747-2753, May.
    2. Mihee Lee & Haipeng Shen & Jianhua Z. Huang & J. S. Marron, 2010. "Biclustering via Sparse Singular Value Decomposition," Biometrics, The International Biometric Society, vol. 66(4), pages 1087-1095, December.
    3. Hanwen Huang, 2017. "Controlling the false discoveries in LASSO," Biometrics, The International Biometric Society, vol. 73(4), pages 1102-1110, December.
    4. Sarah A Pendergrass & Everett Hayes & Giuseppina Farina & Raphael Lemaire & Harrison W Farber & Michael L Whitfield & Robert Lafyatis, 2010. "Limited Systemic Sclerosis Patients with Pulmonary Arterial Hypertension Show Biomarkers of Inflammation and Vascular Injury," PLOS ONE, Public Library of Science, vol. 5(8), pages 1-13, August.
    5. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    6. Nakayama, Yugo & Yata, Kazuyoshi & Aoshima, Makoto, 2021. "Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings," Journal of Multivariate Analysis, Elsevier, vol. 185(C).
    7. Patrick K. Kimes & Yufeng Liu & David Neil Hayes & James Stephen Marron, 2017. "Statistical significance for hierarchical clustering," Biometrics, The International Biometric Society, vol. 73(3), pages 811-821, September.
    8. Zongwu Cai & Jiancheng Jiang & Jingshuang Zhang & Xibin Zhang, 2015. "A new semiparametric test for superior predictive ability," Empirical Economics, Springer, vol. 48(1), pages 389-405, February.
    9. Kejun Wang & Xin Duan & Feng Gao & Wei Wang & Liangliang Liu & Xin Wang, 2018. "Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-19, September.
    10. Dario Bruzzese & Domenico Vistocco, 2015. "DESPOTA: DEndrogram Slicing through a PemutatiOn Test Approach," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 285-304, July.
    11. Nixon, Paul & Gilbert, Evan, 2022. "Unsupervised machine learning to reveal South African risk behaviour archetypes in the domain of discretionary investment decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    12. Lee, Myung Hee, 2012. "On the border of extreme and mild spiked models in the HDLSS framework," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 162-168.

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