Interpoint Distance Classification of High Dimensional Discrete Observations-Reference-Cited by-同舟云学术

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Interpoint Distance Classification of High Dimensional Discrete Observations

Published:2018-08-09 Issue:2 Volume:87 Page:191-206
ISSN:0306-7734
Container-title:International Statistical Review
language:en
Short-container-title:International Statistical Review

Author:

Guo Lingzhe¹,Modarres Reza¹^ORCID

Affiliation:

1. Department of Statistics; The George Washington University; Washington 20052 DC USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/insr.12281/fullpdf

Reference35 articles.

1. Lecture Notes in Computer Science;Aggarwal,2001

2. On a new multivariate two-sample test;Baringhaus;J. Multivariate Anal.,2004

3. Lecture Notes in Computer Science;Beyer,1999

4. Some theory for Fisher's linear discriminant function,‘naive Bayes’, and some alternatives when there are many more variables than observations;Bickel;Bernoulli,2004

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clustering of high-dimensional observations;Journal of Nonparametric Statistics;2024-07-24

2. Using eigenvalues of distance matrices for outlier detection;Intelligent Data Analysis;2023-11-21

3. Analysis of distance matrices;Statistics & Probability Letters;2023-02

4. Nonparametric tests for detection of high dimensional outliers;Journal of Nonparametric Statistics;2022-01-02

5. On the Blocks of Interpoint Distances;Journal of the Iranian Statistical Society;2021-06-01

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