本人的模式识别课程VC源程序

模式识别中的几个常用算法，包括ISODATA算法、K－均值算法、感知器算法、LMSE最小误差、贝耶斯分类。-pattern_recognition have some usual algorithm,including ISODATA algorithm,K-means algorithm,apperceive algorithm ,

此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest

一种基于家庭进行选择的遗传算法VC++源程序，经测试其性能优于一般算法和自适应算法。-a family to choose the genetic algorithm source VC, After testing its performance is superior to the general algorithms and adaptive algorithm.

基于BP算法的贝叶斯网络参数学习， 实现了图形话的节点表示和样本生成， 图形话的结果分析-BP algorithm based on Bayesian network parameter learning, the achievement of the graphics, then the node express and sample generation, if the results of graphical analysis

优化算法算例,其中有优化算法的相关例子，供学习使用-Optimization examples, including relevant examples of optimization algorithm for learning to use

数据挖掘中的关联规则发现算法-Data Mining Association Rules algorithm

apriori经典算法及一个改进算法的程序,里面有具体的解析与操作-classical apriori algorithm and an improved algorithm for the procedure, there are specific analytical and operational

clementine8.1白皮书经典的数据挖掘软件说明-clementine8.1 White Paper classical data mining software Note

这是一个遗传算法中所目标优化的问题，请大家借鉴，-This is a genetic algorithm-objective optimization in the issue and we learn from

自适应遗传算法matlab代码.自适应遗传算法的问题是很容易早熟,好处就是速度快 .不过我将在其中会引入一个早熟判定标志的，并设定一个阈值，如此以来，就可以防止早熟现象了 -Adaptive genetic algorithm Matlab code. Adaptive genetic algorithm is very easy precocious, advantage is faster. However, in which I will be introducing an early sign of determination, and set a threshold, so, you can prevent precocious phenomenon