JOURNAL ARTICLE

Joint local structure preservation and redundancy minimization for unsupervised feature selection

Hao LiYongli WangYanchao LiPeng HuRuxin Zhao

Year: 2020 Journal:   Applied Intelligence Vol: 50 (12)Pages: 4394-4411   Publisher: Springer Science+Business Media
Keywords:
Computer science Feature selection Redundancy (engineering) Pattern recognition (psychology) Pairwise comparison Artificial intelligence Minimum redundancy feature selection Minification Data mining Feature (linguistics) Benchmark (surveying)

Metrics

8
Cited By
0.42
FWCI (Field Weighted Citation Impact)
60
Refs
0.61
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology
Machine Learning and ELM
Physical Sciences →  Computer Science →  Artificial Intelligence

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