MatlabPfunction

Matlab Fuzzy Logic Toolbox

遗传算法和模拟算法的结合通用程序，提高了问题解决的效率，和结果的精度需求(Genetic algorithms and simulated algorithm combined with the general program to improve the efficiency of problem-solving, and the results of the accuracy of demand)

经典的图像分割算法NCut的Matlab代码。(Matlab code of classic image segmentation algorithm NCut .)

二阶双容水位水箱pid控制，非线性控制，运用rk4算法(Second double capacity water tank pid control, nonlinear control, the use of rk4 algorithm)

最新的张量分析工具箱，版本2.6,可进行高阶奇异值分解(HOSVD).(Tensor Toolbox (Sandia National Labs) Version 2.6 06-FEB-2015 Tensor Toolbox for dense, sparse, and decomposed n-way arrays)

说明：  利用Matlab实现数字信号处理fft变换的教程，讲解非常清楚(FFT with Matlab method)

该书介绍了MATLAB关于工作环境、图形处理、数学函数等方面的命令集。(The book, a MATLAB on the working environment, graphics processing, mathematical functions, etc. command set.)

Matlab 滤波程序，适合初学者学习使用，欢迎大家分享(Matlab filtering procedures, suitable for beginners learning to use, we are happy to share)

说明：  这个程序是EMD进行后对IMF的各个能量进行计算得出每个分量的能量分布，这个种方法也是一种常见方法,其中还包括这特征提取后的绘制可视程序。(This procedure is carried out after the IMF EMD various energies calculated energy distribution of each component, this method is also a common method.)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计(Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.)