Mahalanobis Distance
Mahalanobis Distance is a statistical measure of the distance between a point and a distribution, differing from Euclidean distance by accounting for the correlations and variances among variables in multivariate space.
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2017–2026
504
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Information-theoretic metric learning
Jason V. Davis, Brian Kulis, Prateek Jain et al. · 2007 · 2K citations
Neighbourhood Components Analysis
Jacob Goldberger, Geoffrey E. Hinton, Sam T. Roweis et al. · 2004 · 1.7K citations
Clustering with Bregman Divergences
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon et al. · 2004 · 1.5K citations
MVN: An R Package for Assessing Multivariate Normality
Selçuk Korkmaz, Dinçer Göksülük, Gökmen Zararsız · The R Journal · 2014 · 1.3K citations · Full text
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Missouri University of Science and Technology, United States
6 publications · 144 citations
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Centre National de la Recherche Scientifique
Paris, France
20 h-index
58 publications
5.7K citations
Nanyang Technological University
Singapore, Singapore
16 h-index
40 publications
3.8K citations
Tsinghua University
Beijing, China
15 h-index
52 publications
3.9K citations

Northwestern Polytechnical University
Xi'an, China
14 h-index
55 publications
2.1K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
56 publications
3.3K citations
Universidade de São Paulo
São Paulo, Brazil
12 h-index
31 publications
1.2K citations
Wuhan University
Wuhan, China
11 h-index
42 publications
3K citations
Harvard University
Cambridge, United States
11 h-index
13 publications
1.3K citations
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Repository · 37 publications · 2.8K citations
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