Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive h
The Statistical Pattern Recognition Toolbox (abbreviated STPRtool) is a collection of pattern recognition (PR) methods implemented in Matlab. The core of the STPRtool is comprised of statistical PR algorithms described in the monograph Schlesinger,
Why do we feel a need to write a book about pattern recognition when many excellent books are already available on this classical topic? The answer lies in the depth of our coverage of neural networks as natural pattern classifiers and clusterers. A
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive h
Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive h
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 i
统计模式识别 Statistical Pattern Recognition 简介：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 infor
