Description

This book addresses the most efficient methods of pattern analysis using wavelet decomposition. Readers will learn to analyze data in order to emphasize the differences between closely related patterns and then categorize them in a way that is useful to system users.

Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns

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Hardback by Michael Kirby

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This book addresses the most efficient methods of pattern analysis using wavelet decomposition. Readers will learn to analyze data in... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 29/01/2001
    ISBN13: 9780471239291, 978-0471239291
    ISBN10: 0471239291

    Number of Pages: 384

    Non Fiction , Mathematics & Science , Education

    Description

    This book addresses the most efficient methods of pattern analysis using wavelet decomposition. Readers will learn to analyze data in order to emphasize the differences between closely related patterns and then categorize them in a way that is useful to system users.

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