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High-dimensional k-sample comparison is a common applied problem.
A Spectral Graph Analysis: A Unified Explanation and Modern Perspectives
Mukhopadhyay, S · 1901
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Massstabinvariante korrelationstheorie
Hoeffding, W · 1940
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The distribution theory of runs
Mood, A. M · 1940
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On a test whether two samples are from the same population
Wald, A · 1940
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Two-sample tests for multivariate distributions
Weiss, L · 1960
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On the efficiency of two-sample mann-whitney test for discrete populations
Chanda, K · 1963
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Nonparametric Methods in Multivariate Analysis
Puri, M. L · 1971
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Multivariate generalizations of the wald-wolfowitz and smirnov two-sample tests
Friedman, J. H · 1979
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Spectral graph theory
Chung, F. R · 1997
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Normalized cuts and image segmentation
Shi, J · 2000
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Prediction of central nervous system embryonal tumour outcome based on gene expression
Pomeroy, S · 2002
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Multivariate nonparametric tests
Oja, H · 2004
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An exact distribution-free test comparing two multivariate distributions based on adjacency
Rosenbaum, P. R · 2005
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Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles
Subramanian, A · 2005
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Multiway spectral clustering: A margin-based perspective
Zhang, Z · 2008
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The spectrum of kernel random matrices
El Karoui, N · 2010
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Nonparametric statistical methods
Hollander, M · 2013
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A distribution-free two-sample run test applicable to high-dimensional data
Biswas, M · 2014
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Kernel spectral clustering of large dimensional data
Couillet, R · 2016
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A weighted edge-count two-sample test for multivariate and object data
Chen, H · 2017
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Von Luxburg, U · 2007
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Consistency of spectral clustering
Von Luxburg, U · 2008
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A new graph-based two-sample test for multivariate and object data
Chen, H · 2017
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