Energy-constrained discriminant analysis
Dimensionality reduction algorithms have become an indispensable tool for working with high-dimensional data in classification. Linear discriminant analysis (LDA) is a popular analysis technique used to project high-dimensional data into a lower-dimensional space while maximizing class separability....
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2010-12-08T18:23:46Z.
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Subjects: | |
Online Access: | Get fulltext |