Clustering of high-dimensional observations
Author:
Affiliation:
1. Department of Statistics, George Washington University, Washington, DC, USA
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10485252.2024.2378904
Reference35 articles.
1. Aggarwal C.C. Hinneburg A. and Keim D.A. (2001) ‘On the Surprising Behavior of Distance Metrics in High Dimensional Space’ In Database Theory–ICDT 2001: 8th International Conference London UK January 4–6 2001 Proceedings 8 (pp. 420–434). Berlin Heidelberg: Springer.
2. Clustering High Dimension, Low Sample Size Data Using the Maximal Data Piling Distance;Ahn J.;Statistica Sinica,2012
3. The Maximal Data Piling Direction for Discrimination;Ahn J.;Biometrika,2010
4. Distinct Types of Diffuse Large B-cell Lymphoma Identified by Gene Expression Profiling;Alizadeh A.A.;Nature,2000
5. Azzalini A. (2020) ‘The Skew-Normal and Related Distributions Such as the Skew-t’ Package ‘sn’ http://azzalini.stat.unipd.it/SN.
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