xiangguanfig

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.)

MATLAB program which performs the zigzag operation in a matrix.

雷达匹配数字滤波器的matlab simulink实现，通信专业本科毕业论文用的到的。(Matched radar matlab simulink realization of digital filters, communication undergraduate thesis used to.)

Airport runway detection using zernike meoments

积分分离PID控制matlab M文件代码。 该控制里面将积分分离，在控制误差很小时才重新使用积分，这样可获得更好的控制效果。(Integral Separation PID control matlab M file code. The control inside the integral separation, re-use integral control error is very small when, so to get better control effect.)

these files show 2point end line wave in some different situation

Matlab code with GUI for identification of VGC signals (FAX, Voice, VFT etc.)

说明：  draw a signal with its envelope

强大的图像处理程序，良好的GUI界面，可以进行图像的基本编辑、图像滤波、傅里叶变换、噪声去除、图像增强等(Powerful image processing program, a good GUI interface and basic editing can be image, image filtering, Fourier transform, noise removal, image enhancement, etc.)

Hi friends.I m doing my project in Fuzzy logic image compression please help and guide me.