Standard Deviation Reduction
Standard Deviation Reduction is a statistical metric that quantifies the extent to which a given variable or model partition decreases the variability of a target variable relative to its original distribution, serving as a criterion for evaluating the effectiveness of segmentation or prediction strategies in variation reduction.
238
Publications
13.5K
Citations
898
Authors
352
Institutions
Publications per year
2017–2026
71
Parents
238
Toward an instance theory of automatization.
Gordon D. Logan · Psychological Review · 1988 · 3.4K citations
An Overview of Principal Component Analysis
Sasan Karamizadeh, Shahidan M. Abdullah, Azizah Abdul Manaf et al. · Journal of Signal and Information Processing · 2013 · 531 citations · Full text
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352
University College London
London, United Kingdom
5 h-index
14 publications
683 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
30 publications
490 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
9 publications
219 citations

University of Toronto
Toronto, Canada
4 h-index
8 publications
159 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
4 h-index
7 publications
247 citations
University of California, Davis
Davis, United States
3 h-index
3 publications
659 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
101 citations

Delft University of Technology
Delft, The Netherlands
3 h-index
5 publications
121 citations
1–8 of 352
6 publications · 698 citations
5
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5 publications · 750 citations
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4 publications · 94 citations
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4 publications · 285 citations
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JAAS · 4 publications · 120 citations
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