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Generalized Principal Component Analysis Ren Vidal Yi Ma S Shankar Sastry

SKU: BELL-51710142

$ 31.00 ~~$ 45.00~~ (-31%)

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Generalized Principal Component Analysis Ren Vidal Yi Ma S Shankar Sastry instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 12.84 MB

Author: René Vidal, Yi Ma, S. Shankar Sastry

ISBN: 9780387878102, 9780387878119, 0387878106, 0387878114, 09396047

Language: English

Year: 2015

Volume: 40

Product desciption

Generalized Principal Component Analysis Ren Vidal Yi Ma S Shankar Sastry by René Vidal, Yi Ma, S. Shankar Sastry 9780387878102, 9780387878119, 0387878106, 0387878114, 09396047 instant download after payment.

The main goal of this book is to introduce a new method to study hybrid models, referred to as generalized principal component analysis. The general problems that GPCA aims to address represents a fairly general class of unsupervised learning problems— many data clustering and modeling methods in machine learning can be viewed as special cases of this method. This book provides a comprehensive introduction of the fundamental statistical, geometric and algebraic concepts associated with the estimation (and segmentation) of the hybrid models, especially the hybrid linear models.