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.
Language
English
Pages
325
Format
Kindle Edition
Release
December 08, 2000
Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns
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.