gui.tar

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

co operative diversity tech

some code on matlab,previous code type

Simple threshold segmentation of medical CT data in DICOM data representation.

it just show the different type of signals and their matlab codes

single tank level control using pid

关于雷达系统各方面的matlab仿真源代码，这是我自己整理，调试完成的。(The radar system matlab simulation source code, which is my own finishing, commissioning completed.)

可以作为研究可见光通信的参考代码，代码质量非常高，很适合初级学者研究。(vlc code)

一篇关于快鸟影像的大气校正文章。刊登于ELSEVIER。(Image based atmospheric correction of QuickBird imagery of Minnesota cropland)

通信原理实验的matlab仿真中的快衰落和慢衰落(Matlab simulation experiment of communication principle in fast fading and slow fading)