BOOK-CHAPTER
Principal Components, Factors and Correspondence Analysis
Year: 1992 Springer texts in statistics Pages: 345-482 Publisher: Springer International Publishing
Keywords:
Principal component analysis Linear discriminant analysis Variable (mathematics) Set (abstract data type) Correspondence analysis Variables Regression analysis Statistics Canonical correlation Computer science Multiple correspondence analysis Reduction (mathematics) Data reduction Mathematics Data set Data Matrix Dimensionality reduction Discriminant Factor analysis Feature selection Artificial intelligence
Metrics
15
Cited By
0.00
FWCI (Field Weighted Citation Impact)
48
Refs
0.12
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Citation History
Topics
Advanced Statistical Methods and Models
Physical Sciences → Mathematics → Statistics and Probability
Statistical Methods and Applications
Physical Sciences → Mathematics → Statistics and Probability
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