On the splitting method for VQ codebook generation by using Matlab

LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ） 等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.

K-Means动态聚类算法源程序 使用K-Means实现数据挖掘中的聚类算法-Dynamic K-Means clustering algorithm source realize the use of K-Means clustering data mining algorithm

PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!

这是用实验函数--Ackley函数来检验遗传算法的优越性，其中有点小毛病，就是种群数在20个左右效果最好，一旦增加种群，结果就不大对劲了。忙了好多天，也没调出来，还请各位大侠指点喽-This is the experimental function-- Ackley function to test the advantages of genetic algorithm, with a little fault, is the number of stocks in the 20 best around, once increased stocks, the result is not very comfortable having the. Busier afterwards, it was not stressed out, please Shanhaiguan kind Lackeys

随机神经网络的源代码，对于研究神经网络的人来说，可能有一定的参考作用-random neural network source code for research neural network people, may have some reference

libview的libsvm程序，它的应用比较方便。-libview the libsvm procedure, its application more convenient.

简单一元函数优化实例，利用遗传算法计算下面函数的最大值-One dollar a simple example of function optimization using genetic algorithm function below the maximum

用人工神经网络的bp的方法解决异或问题-Using artificial neural network bp means to solve the XOR problem

遗传算法和神经网络的结合应用，通过Visual C++环境来实现该功能，使计算能力更强-Genetic algorithms and neural networks combination of applications, through the Visual C++ environment to achieve this feature, so that more computing power

模式识别――原理、方法及应用-pattern recognition-- principles, methods and applications