Infinite Feature Selection: A Graph-based Feature Filtering Approach

We propose a filtering feature selection framework that considers subsets of features as paths in a graph, where a node is a feature and an edge indicates pairwise (customizable) relations among features, dealing with relevance and redundancy principles. By two different interpretations (exploiting...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 43; H. 12; S. 4396 - 4410
Hauptverfasser:	Roffo, Giorgio, Melzi, Simone, Castellani, Umberto, Vinciarelli, Alessandro, Cristani, Marco
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computational complexity Correlation Feature extraction Feature selection filter methods Filtration Laplace equations Markov chains Markov processes Mutual information Power series Redundancy
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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