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基于向量内积的相似性K-means聚类算法(Based on vector similarity of inner product K- means clustering algorithm)

奇异值分解（SVD）的MATLAB仿真性能分析(Singular value decomposition (SVD) of the MATLAB simulation performance analysis)

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.)

主要内容基于元胞自动机的地铁站紧急疏散仿真，利用matlab来编译出可视化人群疏散效果，得出疏散时间等结果。 (Based on Cellular Automata subway station evacuated)

AFDF协议MATLAB仿真，很不错的！！！(AFDF agreement MATLAB simulation, a very good)

说明：  ECG心电信号matlab仿真画图，其中包括P波、Q波、QRS波、S波、T波和U波(Matlab simulation of ECG ECG drawing, including the P wave, Q wave, QRS wave, S wave, T wave and U wave)

paper for wind turbin

MATLAB (MATLAB )

MATLAB Code for MIMO Receiver design

基于mATLAB的双峰谱线插值，用于谐波的检测分析(Bimodal line interpolation based on mATLAB for harmonic detection and analysis)