Advantages and Pitfalls of Pattern Recognition, Volume 3

Part I: From Data to Methods
1. Patterns, Objects, and Features
2. Supervised Learning
3. Unsupervised Learning

Part II: Example Applications
4. Applications with Supervised Learning
5.. Applications with Unsupervised Learning

Part III: A Posteriori Analysis
6. What is a Failure? A-posteriori Analyses - Advantages and Pitfalls of Pattern Recognition Techniques
7. Software Manuals

Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than single parameters. Pattern recognition techniques offer a suitable key for processing and extracting useful information from the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight into their application.

• Offers real-world examples of techniques for pattern recognition and handling multivariate data
• Includes examples, applications, and diagrams to enhance understanding
• Provides an introduction and access to relevant software packages

Geophysicists, Geochemists, Geologists, Geographers, Data Analysts