MEQA: Manifold embedding quality assessment via anisotropic scaling and Kolmogorov-Smirnov test-Reference-Cited by-同舟云学术

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MEQA: Manifold embedding quality assessment via anisotropic scaling and Kolmogorov-Smirnov test

Published:2023-07 Issue: Volume:139 Page:109447
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Boral Subhadip^ORCID,Sarkar Mainak^ORCID,Ghosh Ashish^ORCID

Funder

Department of Science and Technology

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference32 articles.

1. High-dimensional data analysis: the curses and blessings of dimensionality;Donoho,2000

2. Dimensionality reduction: a comparative review;Van Der Maaten;J. Mach. Learn. Res.,2009

3. An introduction to variable and feature selection;Guyon;J. Mach. Learn. Res.,2003

4. Novel Methods for Feature Subset Selection with Respect to Problem Knowledge;Pudil,1998

5. Analysis of a complex of statistical variables into principal components;Hotelling;J. Educ. Psychol.,1933

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