DAT: A robust Discriminant Analysis-based Test of unimodality for unknown input distributions-Reference-Cited by-同舟云学术

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DAT: A robust Discriminant Analysis-based Test of unimodality for unknown input distributions

Published:2024-06 Issue: Volume:182 Page:125-132
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Gupta Aditi^ORCID,Onumanyi Adeiza J.^ORCID,Ahlawat Satyadev^ORCID,Prasad Yamuna,Singh Virendra,Abu-Mahfouz Adnan M.

Publisher

Elsevier BV

Reference23 articles.

1. To cluster, or not to cluster: An analysis of clusterability methods;Adolfsson;Pattern Recognit.,2019

2. The UU-test for statistical modeling of unimodal data;Chasani;Pattern Recognit.,2022

3. Variable speed induction motors’ fault detection based on transient motor current signatures analysis: A review;Yakhni;Mech. Syst. Signal Process.,2023

4. Density estimation for statistics and data analysis;Silverman,2018

5. Excess mass estimates and tests for multimodality;Müller;J. Amer. Statist. Assoc.,1991

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