Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?-Reference-Cited by-同舟云学术

Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?

Published:2020-05 Issue: Volume:196 Page:105777
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Oliveira Jadson Jose Monteiro,Cordeiro Robson Leonardo Ferreira

Funder

FAPESP, Brazil

CAPES, Brazil

CNPq, Brazil

Microsoft Azure Research, Brazil

Amazon Web Services Cloud Credits for Research, Brazil

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference23 articles.

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2. Data intensive parallel feature selection method study;Sun,2014

3. Unsupervised feature selection based on the morisita estimator of intrinsic dimension;Golay;Knowl.-Based Syst.,2017

4. Effective and unsupervised fractal-based feature selection for very large datasets: Removing linear and non-linear attribute correlations;Fraideinberze,2016

5. Curler: Finding and visualizing nonlinear correlation clusters;Tung,2005

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