Matlab1

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.)

采用标准的Newton方法解决等式约束熵极大化问题(Standard Newton method，Equality constrained entropy maximization)

基于小波变换的数字水印算法matlab代码，matlab小波分析程序，isodata 迭代自组织的数据分析。( Based on wavelet transform digital watermarking algorithm matlab code, matlab wavelet analysis program, Isodata iterative self-organizing data analysis.)

chebyshev滤波器，更具需要设计高通低通带通chebyshev滤波器(chebyshev滤波器)

现代通信信号在matlab中的实现及应用(good)

已知指定参数值，用matlab编程实现一个滞后补偿器。已满足题目参数要求。(Known to specify parameter values, using matlab programming a lag compensator. Parameter requirements have been met subject.)

说明：  用于进行变量降维的matlab程序，大家可以试一试，很有效哟(Variable Reduction Testbench MATLAB modules，it is very effective， we can try, very effective ..............)

此文件包包含了dijkstra/dynamic.弗洛伊德、克丽丝卡尔、random-generate.binary-search/等算法，是MATLAB路径问题的重要解决方法(This package contains the dijkstra/dynamic. Freud, Kris Carr, random-generate.binary-search/algorithms, MATLAB path problem is an important solution)

何凯明的《Single Image Haze Removal Using Dark Channel Prior》论文中的代码，基于暗原色先验的图像去雾算法，对户外图像去雾有很好的效果(this code is of the paper"Single Image Haze Removal Using Dark Channel Prior",the function is removing haze based on Dark Channel Prior algorithm , having a good effect on outdoor images.)

When doing optimization, GA algorithm was initially selected, but the instability of the GA (or local optimization) is really frustrating, before and after the resulting difference can at times reach more than 30 , at that time due to time reasons, I chose to optimize 1000 times, then the minimum value of the most optimal solution. Although the problems are solved, but an academic, this style of running is pretty embarrassing. So, I downloaded a GA-PSO algorithm, try using the combination of GA and PSO optimizing strategies, results algorithm issues, efficiency and good. I downloaded the original algorithm, there is a problem is that it is aimed at all upper and lower limits of the design variables are the same, so I modified the program and improvements, you can now deal with upper and lower limits of the inconsistency problem and fix the bug. Now, program modifications, and share, hoping to be useful to you