Pattern Recognition Approach to Data Interpretation

Name: Pattern Recognition Approach to Data Interpretation
Brand: Springer-Verlag New York Inc.
SKU: 9781461593331
Price: 19305 HUF
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Szerző: Diane Wolff

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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An attempt is made in this book to give scientists a detailed working knowledge of the powerful math...

Információk a könyvről

Szerző

Diane Wolff

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

224

EAN

9781461593331

ISBN

1461593336

Enbook ID

02175017

Kiadó

Springer-Verlag New York Inc.

Súly

422

Méretek

170 x 244 x 14

Teljes leírás

An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con fronted with large data sets incorporating many parameters. A minimal amount of com puter knowledge is necessary for successful applications, and we have tried conscien tiously to provide this in the appropriate sections and references. Scientific data are now being produced at rates not believed possible ten years ago. A major goal in any sci entific investigation should be to obtain a critical evaluation of the data generated in a set of experiments in order to extract whatever useful scientific information may be present. Very often, the large number of measurements present in the data set does not make this an easy task. The goals of this book are thus fourfold. The first is to create a useful reference on the applications of these statistical pattern recognition methods to the sciences. The majority of our discussions center around the fields of chemistry, geology, environmen tal sciences, physics, and the biological and medical sciences. In Chapter IV a section is devoted to each of these fields. Since the applications of pattern recognition tech niques are essentially unlimited, restricted only by the outer limitations of.

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Pattern Recognition Approach to Data Interpretation

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