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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.)

基于Matlab的小车停车位模糊控制模型，通过使用Matlab工具箱中的模糊控制工具箱设计了将小车安全可靠地停到划定的停车位置上。(Matlab-based fuzzy control model of car parking spaces, by using the Matlab toolbox in the fuzzy control toolbox designed to stop the car safely and securely to the designated parking position.)

here is a program MATLAB for maximum smallest, Tiệ m có thể

fvm方法求解浅水方程 具有后处理功能(fvm to solver shallow water ns equation with post processin)

0007金属材料制品公司修正版源码0007金属材料制品公司修正版源码(The 0007 metal material products company amended version of the source code)

Adaptive Filtering Primer with MATLAB - Poularikas and Ramadan

包括单边带、双边带、载波抑制及四倍频,包含收发两个客户端的链路级通信程序,图像的光流法计算的matlab程序。( Including single sideband, double sideband, suppressed carrier and quadruple, Contains two clients receive link-level communications program, Image optical flow calculation matlab program.)

关于高斯塞德尔和雅可比矩阵以及牛顿拉佛逊法的详细例子,主要是采用matlb中的语言编写的(Sise and Bender on the high Jacobian matrix and the Newton Raphson method Laffer detailed examples, mainly used in languages matlb)

显示原图，matlab.良好的操作性良好的操作性(Show the image, matlab. Good good interoperability interoperability)

截取语音处理的图片设计滤波器，并对被噪声污染的语音信号进行滤波，画出滤波前 后信号的时域波形和频谱，并进行比较分析； (The statics is very good for the semaster)