一个简单实用的K紧邻分类器

神经网络模式识别及其实现，第10章 内含：ART 和VQ 算法。 终于上传完，本来想一次性发上来的，但结果失败了，只好一个一个发。-pattern recognition and neural network to achieve, Chapter 10 consisting of : ART algorithm and VQ. Finally upload End, originally wanted onto a one-time, but the result of the failure, but a one-fat.

对于学习混沌理论的人很有用的，这也是搜集到的-Chaos Theory for the study were very useful, which is collected

Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.-Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.

新的神经网络算法源程序，很适合初学者，也可以在上面进行改进！-New neural network algorithm source code, it is suitable for beginners, you can make improvements in the above!

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.

数据挖掘中很不错的源码,一个chc算法的java源程序,有极好的可读性-data mining is a good source, a chc algorithm java source files, has an excellent readability

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

遗传算法的c语言程序-Genetic Algorithm c Language Program

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training

基于粒子滤波原理，选取纹理特征对目标进行描述，实现视频目标的跟踪。-Principle-based particle filter, select the texture features to describe on the target to achieve the objectives of tracking video.