Open AccessA two-sample test for high-dimension, low-sample-size data under the strongly spiked eigenvalue model
Author(s) -
Aki Ishii
Publication year - 2017
Publication title -
hiroshima mathematical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 12
ISSN - 0018-2079
DOI - 10.32917/hmj/1509674448
Subject(s) - dimension (graph theory) , sample (material) , mathematics , sample size determination , eigenvalues and eigenvectors , clustering high dimensional data , test (biology) , test data , statistics , algorithm , computer science , cluster analysis , combinatorics , chromatography , chemistry , paleontology , physics , quantum mechanics , biology , programming language