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  • René Vidal; Yi Ma; Shankar Sastry
    978-0-387-87811-9
    2016
    Edition 1
    • Introduces fundamental statistical, geometric and algebraic concepts
    • Encompasses relevant data clustering and modeling methods in machine learning
    • Addresses a general class of unsupervised learning problems
    • Generalizes the theory and methods of principal component anaylsis to the cases when the data can be severely contaminated with errors and outliers as well as when the data may contain more than one low-dimensional subspace
    €419 €377
    10% OFF

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