[PDF.64en] Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns

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

[PDF.ud15] Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns

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 | #1741408 in Books |  2000-12-08 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.65 x.91 x6.46l,1.57 | File type: PDF | 325 pages

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||16 of 16 people found the following review helpful.| Is there data analysis beyond statistics?|By D. Hundley|Yes! This book explains the cutting edge techniques. I took this course (it is a graduate level book) at Colorado State from the author, and I think that this book is unique is many aspects.
It organizes a very broad array of topics under the unifying theme of "dimensionality reduction", or the finding of patterns| |"...provides a valuable summary of data reduction." (Technometrics, May 2002) |"...effectively describes and summarizes an emerging new field, namely, scientific data modeling and analysis." (Mathematical s, 2003h)|

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.

You easily download any file type for your device.Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns   |  Michael Kirby. Just read it with an open mind because none of us really know.

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