FFT2

一级倒立摆系统采用lqr方法控制，使其达到平衡状态(Inverted pendulum system using lqr to control, to reach the equilibrium state)

边缘检测算子 roberts算子 matlab源代码(roberts matlab)

part3 schrodinger solve...

Probabilistic Latent semantic alnalysis (pLSA) using (tempered) EM

matlab RS 分形程序，用于稳定性检验，也可以进行周期长度估计，当统计量图形形状发生变化，就发生突变，短期记忆消失(Fractal matlab RS procedures for stability testing, but also can estimate the cycle length, when the statistic graphics shape changes, on the mutation, the disappearance of short-term memory)

matlab code for k-means for neural net RBF

Simple Genetic Algorithm coded in matlab

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

将感兴趣的边缘覆盖到原图上，显示分割的效果，很有帮助哦(Will be of interest to the artwork on the edge of coverage, showing the effect of segmentation, helpful oh)

Brain MR Image segmentation using k-means clustering