Principal Component Analysis Is Central To The Study Of Multivariate Data. Although One Of The Earliest Multivariate Techniques, It Continues To Be The Subject Of Much Research, Ranging From New Model-based Approaches To Algorithmic Ideas From Neural Networks. It Is Extremely Versatile, With Applica
[Springer Series in Statistics] Principal Component Analysis || Principal Components in Regression Analysis
โ Scribed by ,
- Book ID
- 120609047
- Publisher
- Springer-Verlag
- Year
- 2002
- Weight
- 279 KB
- Category
- Article
- ISBN-13
- 9780387954424
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Principal Component Analysis Is Probably The Oldest And Best Known Of The It Was First Introduced By Pearson (1901), Techniques Ofmultivariate Analysis. And Developed Independently By Hotelling (1933). Like Many Multivariate Methods, It Was Not Widely Used Until The Advent Of Electronic Computers, B
Principal Component Analysis Is Central To The Study Of Multivariate Data. Although One Of The Earliest Multivariate Techniques, It Continues To Be The Subject Of Much Research, Ranging From New Model-based Approaches To Algorithmic Ideas From Neural Networks. It Is Extremely Versatile, With Applica