1-1 About This Book ()

[chinese][all]
The goals of this books are:

Cover the basic principles of data clustering (DC) and pattern recognition (PR).
Exemplify the use of MATLAB for implementing DC and PR.
Take real-world data as target applications for DC & PR.
The book is a practical guide for graduate students, researchers, as well as practitioner, with the following characteristics:

Example-based tutorial: All the chapters include a number of examples, together with formal mathematical analysis and derivation.
Emphasis on both theory and implementation: All algorithms covered in the text have accompanying MATLAB implementation, such that the uses can have hands-on experience to practice "learning by doing".
Application oriented: Most of the examples take real-world data to verify the covered algorithms or methods. This enables the users to have a concrete idea of the gap between theory and implementation for real-world applications.
The depth of this book is designed for first-year graduate students. However, it is also suitable for upper-division of undergraduates if the lecturer put more emphasis on coding and implementation.
Speech and audio signal processing and recognition involves a fair amount of mathematics. We expect the readers to have taken the following prerequisites: Calculus, linear algebra, and probability.
This book was original written in Chinese. Therefore for some page, we have a link to the old Chinese version. However, it should be noted that the latest version is in English and there is no guarantee for the synchronization between English and Chinese versions.
If you want to cite this book, use the following format:

Jyh-Shing Roger Jang, "Data Clustering and Pattern Recognition," available at the links for on-line courses at the author's homepage at http://mirlab.org/jang.
A set of loosely related slides is available here.
Data Clustering and Pattern Recognition (資料分群與樣式辨認)