Clustering and classification based on the L\(_{1}\) data depth
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Publication:1876982
DOI10.1016/j.jmva.2004.02.013zbMath1047.62064OpenAlexW2014181044MaRDI QIDQ1876982
Publication date: 16 August 2004
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2004.02.013
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)
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Uses Software
Cites Work
- Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
- Statistical data analysis based on the \(L_1\)-norm and related methods. With the technical assistance of Giuseppe Melfi. Papers of the 4th international conference on statistical analysis on the \(L_1\)-norm and related methods, Neuchâtel, Switzerland, August 4--9, 2002
- Finding Groups in Data
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
- A new partitioning around medoids algorithm
- The multivariate L 1 -median and associated data depth
- Efficient scalar quantization of exponential and Laplacian random variables
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