RandomUser

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

基于VSC_HVDC的直流配电网研究论文 很详细包括了MATLAB的仿真图(VSC_HVDC-based DC distribution network research papers are detailed in the simulation of MATLAB)

应用最小二乘法对二阶加零点系统进行辨识，得到相关参数(Least square method a second order zero system identification, are relevant parameters)

battery management for electric vehicle

ica_filter for signals matlab code

本资源是关于matlab编程技巧的介绍，可以作为教材的辅助资料，提高编程水平。(This resource is introduced on the matlab programming techniques can be used as supplementary teaching materials to improve the level of programming.)

ctp海风实例 有修改 非常好的交易实例(ctp cthostftdctraderapi)

this is the coding for converting hsi to rgb

程序利用小波分解将声音信号分解为高频与低频部分，而后利用软阈值方法确定高频与低频各自的小波重构系数，将高频与低频部分重构还原信号达到降噪的目的。(Program using wavelet decomposition sound signal into high and low parts, then use soft threshold method to determine the high and low frequency coefficients of each wavelet reconstruction, reconstruction of the high and low frequency part of the purpose of noise reduction signal reaches.)

SAR成像wk算法，简单程序，对初学者有用(SAR imaging，wk)