A high dimensional dissimilarity measure-Reference-Cited by-同舟云学术

A high dimensional dissimilarity measure

Published:2022-11 Issue: Volume:175 Page:107560
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Modarres Reza^ORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference20 articles.

1. The high-dimension, low-sample-size geometric representation holds under mild conditions;Ahn;Biometrika,2007

2. On the behavior of intrinsically high-dimensional spaces: distances, direct and reverse nearest neighbors, and hubness;Angiulli;J. Mach. Learn. Res.,2018

3. A nonparametric two-sample test applicable to high dimensional data;Biswas;J. Multivar. Anal.,2014

4. Asymptotics of hierarchical clustering for growing dimension;Borysov;J. Multivar. Anal.,2014

5. Parametric Statistical Change Point Analysis: with Applications to Genetics, Medicine, and Finance;Chen,2012

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