Statistical Pattern Recognition

本书详细介绍了密度估计（分参数、贝叶斯和非参数三章）、线性判别分析、非线性判别分析、决策树归纳、多分类器融合、性能估计、聚类法、复杂网络等内容。 Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques.