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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))

通过matlab实现基于奇异值分解的转子故障诊断(Through matlab SVD-based Fault Diagnosis of Rotor)

这里是一些有关蚁群算法的MATLAB代码，希望对大家有帮助(Here are some of the ant colony algorithm MATLAB code, we want to help)

half band filter code

一维光子晶体介质材料的色散关系，对于各种材料都适用。(The dispersion relation of one-dimensional photonic crystal dielectric materials, applicable for various materials. )

matlab robot 插件matlab robot 插件matlab robot 插件matlab robot 插件matlab robot 插件matlab robot 插件

这是免疫算法。这个算法几乎与遗传算法一样，只是多用了一个免疫函数 免疫算法是遗传算法的变体，它不用杂交，而是采用注入疫苗的方法。(This is the immune algorithm. This algorithm and genetic algorithm is almost the same, but with a much immune function Immune algorithm is a variant of the genetic algorithm, it does not hybridize, instead of using the method of injecting the vaccine.)

【matlab编程代做】AM调制及其频谱可以作为参考使用([Do] matlab programming generation AM modulation and spectrum can be used as references)

reinforcement learning

DOA估计中的延迟相加法，经典的传统方法，写学位论文必用。(DOA estimated sum of the delays, the classical traditional methods and writing dissertations with it.)