MLalgorithm

适合初学小波变换的同学，小程序演示了怎样显示小波各级各频段(show the frequency of wavelet)

说明：  APF有源滤波器仿真，两电平，三相四线制，电力电子技术，matlab simulink(APF active filter simulation, two-level, three-phase four-wire system, power electronics technology, matlab simulink)

descrive the block information of psat

It is a recursive time synchronization protocol for clock synchronization in wireless sensor networks.Energy efficiency can be increased by the aggregation of synchronization request.

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.)

说明：  很好的支持向量机MATLAB实现程序，简单易操作。(Chaos characteristics used to identify the mutual information algorithm matlab implementation process.)

我从网上下的模式识别的书籍，非常好，现共享一下(I recognize the pattern from the Internet of books, very good, is about sharing)

：在有限区域内分布的稀疏不均的、具有一定分布结构的海量数据集的高效、高精度聚 类问题是一个尚未完全圆满解决的难题。针对Affinity Propagation 聚类算法(AP)的不足之处， 提出了两个改进型的聚类算法(n limited areas of uneven distribution of sparse, has certain distribution structure of the mass datasets of high efficiency, high precision together Problem is a perfectly solved problem has not yet completely. For Affinity Propagation clustering algorithm (AP) of the deficiencies, Put forward the two improved version of the clustering algorithm)

对于阵列天线以及其他种类天线的2维及3维仿真，可以调节波长，天线长度，以及倾角等参数。(For 2-dimensional and 3-dimensional simulation of the array antenna, and other types of antennas, the wavelength can be adjusted, the antenna length, and the inclination and other parameters.)

说明：  查看要素（Feature）属性信息,同一图层可以选择多个要素(see feature attributes,the same layer can select many features)