LBP

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有两组生物医学的实验数据，一组表示物质成分（TCE），一组表示 温度（temp），数据是在35天中每隔5天采样取得的，将物质成分和温度与时间的 关系画在一张图中。(There are two sets of biomedical experimental data, a group of said material composition (TCE), a group that temperature (temp), data is 35 days in samples obtained every 5 days, the material composition and temperature and time of relations draw on a diagram.)

mathews数值分析书的源代码，用matlab编写，第一章第十三部分。(mathews numerical analysis of the book' s source code, using matlab, the first part of Chapter XIII.)

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

Geneteic Alghoritm for function Ackley-schewefel

programa que demonstra como usar multi threads

本人的模糊控制课堂作业，基于Sugeno（TSK）推理的模糊控制器(Fuzzy control of my class assignments, based on Sugeno (TSK) inference of the fuzzy controller)

数据平滑方法，几个方法各有优点。里面有说明。(Data smoothing method, several methods have their advantages)

现代谱估计welch方法，可以变换成巴特莱特方法(welch altroithm in modern spectral estimation)

雷达信号理论的MATLAB（林茂庸著）里面的代码对大家学习雷达很有帮助 很辛苦找到的 分享给大家(Radar signal theory of MATLAB (Lin Mao-yung of) the code inside the radar for them to learn useful Very hard to find for everyone to share)