中文说明：本书广泛吸收统计学，神经网络，数据挖掘，机器学习，人工智能，群智能计算等学科的先进思想和理论，将其应用到模式识别领域中，全书共13章：模式识别概述，特征的选择与提取，模式相似性测试，贝叶斯分类器设计，判别函数分类器设计，神经网络分类器设计，决策树分类器，粗糙集分类器，聚类分析，模糊聚类分析，遗传算法聚类分析，蚁群算法聚类分析，粒子群算法聚类分析
English Description：
This book widely absorbs the advanced ideas and theories of statistics, neural network, data mining, machine learning, artificial intelligence, Swarm Intelligence Computing and other disciplines, and applies them to the field of pattern recognition. The book has 13 chapters: overview of pattern recognition, feature selection and extraction, pattern similarity test, Bayesian classifier design, discriminant function classifier design, neural network classifier Design, decision tree classifier, rough set classifier, clustering analysis, fuzzy clustering analysis, genetic algorithm clustering analysis, ant colony algorithm clustering analysis, particle swarm optimization clustering analysis