Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems. This book is appropriate for advanced undergraduate students, graduate students, and researchers in statistics, computer science, artificial intelligence, psychology, cognitive sciences, business, medicine, bioinformatics, and engineering. Familiarity with multivariable calculus, linear algebra, and probability and statistics is required. The book presents a carefully-integrated mixture of theory and applications, and of classical and modern multivariate statistical techniques, including Bayesian methods. There are over 60 interesting data sets used as examples in the book, over 200 exercises, and many color illustrations and photographs.

RBM-on-Classification，用RBM所做的分类，里面包含源码和数据集，独立于任何工具箱，整个就是一个工程，里面有仿真和图像，还有各种有用的数据函数

答案为英文版，有目录，总共有446页，包含全部十个章节的答案以及代码。

利用GlobalMapper软件对LiDAR点云数据进行分类的流程图。

Duda R O, Hart P E, Stork D G_Pattern Classification (2Ed Wiley)-中文版

Image Analysis, Classification and Change Detection in Remote Sensing with Algorithms in ENVIIDL(2005)

模式识别方面的经典教材，模式识别/分类Pattern Classification (DHS)英文版原著+中文版翻译+课后答案分享【第二版】

Pattern classification Richard O Duda.pdf 电子书，原版著作，不是matlab应用的手册，应用手册和代码见我的其他资源。

Pattern classification 2nd edition Duda 课后答案（全）

分类学习工具箱，里面包含SVM、决策树、Knn等各类分类器，使用非常方便。