Droopcontrol329

This program helps you how to resize an Image.

介绍matlab各种常用命令，让初学者轻松从入门到精通的电子书。(Matlab introduce a variety of commonly used commands, so that easy for beginners from entry to master e-book.)

说明：  MATLAB入门经典教程，适合初级学员学习，增进基础知识的学习(Beginning MATLAB tutorial for elementary students learn the basics of learning to enhance)

用matlab写的一些数值算法，大家可以参看，很不错的 (using Matlab write some numerical algorithm, we can see very good)

采集单通道心电数据后量化，编码，并在屏幕上显示出来(Single-channel ECG data acquisition after the quantization, coding, and displayed on the screen)

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))

matlab code for Machine Learning with MATLAB

运筹学里的优化算法，源代码，而且经过matlab运行过了(Operations Research in the optimization algorithm, source code, and after a run Matlab)

matpower4.0的matlab程序，及说明文件。每个程序都有详细的解释说明(matpower4.0 matlab procedures, and documentation. Each program has a detailed explanation)

基于MATLAB用于检测提取的语音信号的平均短时过零率的算法，可以方便的检测出是清音还是浊音。(Algorithm based on the MATLAB for detecting extracted speech signal average short-term zero-crossing rate, you can easily detect the voiceless or voiced.)