wiener_ch2

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.)

谱处理的瀑布图显示，超好的(Spectral processing waterfall diagram shows, super good)

用matlab实现的完整的遗传算法，希望对爱好matlab和建模的同学有所帮助。(Using matlab to achieve a complete genetic algorithm, hope-loving students and modeling matlab help.)

Sobel edge detection algoritmh to detec edge.

帮助大家学习用MATLAB绘图处理数据的实用型文档。(The PDF is used for helping us study MATLAB for drawing and data processing)

以费用、污染物减排、负荷平衡为目标函数，含风力光伏发电系统的微网三目标调度程序，采用PSO算法。(To cost as objective function, pollutant emissions, load balance, including wind of photovoltaic power generation systems piconets three goal the scheduler, using PSO algorithm. )

一维等离子体的so—fdtd算法程序,也可推广到一般色散介质。(One-dimensional plasma so-fdtd algorithm program)

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.

metlab code for different filters

小波神经网络的PPT，包括很多实用性的东西(Wavelet Neural Networks PPT, including a lot of practical things)