kmeansclustering

实现两个稀疏矩阵相乘(效率高于早期的Matlab自带的程序)，Matlab编程 (SSMULT is a simple stand-alone MATLAB mexFunction that computes C=A*B where both A and B are sparse. It is typically faster and always uses less memory than C=A*B in MATLAB 7.4 (or earlier). Works on MATLAB 6.1 to the current version. Untested on earlier versions of MATLAB. It is a built-in function in MATLAB 7.6 and later for C=A*B when both A and B are sparse. )

说明：  Physical modelling example 1

两带随机参量的复指数信号之和，用MVDR进行信号频率谱估计。(Two of the sum of complex exponential signal with random parameters, the MVDR is used to estimate signal frequency spectrum.)

this is a Matlab code for classification of Hand writed data by Neural network (Elman Network)

粗糙集约简的matlab算法,包含了基本的约简算法(Rough Set Theory and matlab algorithm, including the basic reduction algorithm)

用Matlab制作的简易GUI日历，由于没有涉及到GUIDE的使用，所以更值得供初学Matlab GUI设计的程序员(Calendar)

matlab常用函数整理与收集，常用函数整理与收集(matlab commonly used functions finishing )

gambler example with reinforcement learning

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

基于Kalman滤波算法的自适应AR模型，优点：算法收敛速度快；(Adaptive Kalman filtering algorithm based on AR model advantages: algorithm convergence speed )