maple-tutorials

matlab6.5下写的三类问题的基于最大最小聚类方面写的聚类程序(matlab6.5 wrote under the three categories based on the largest area was the smallest cluster clustering procedure)

说明：  用龙格库塔法对系统进行仿真，系统有纯滞后和一阶惯性环节。(Runge-Kutta method using the system simulation, system time delay and first order inertia.)

说明：  光通信系统的MATLAB实现，在OPTISYSTEM中运行(run in optisystem)

用matlab做线性曲线回归分析 曲线拟合 matlab 多元线性回归分析 (Using matlab to do a linear regression curve fitting curve matlab multivariate linear regression analysis)

利用互信息对图像进行配准，使用的是matlab自带的优化工具箱(image registration using mutunal information ,this is good method,though it s so simple)

这是用matlab写的RBF网络辨识函数。(it is very important)

本文给出了m序列多项相关性的概念，还研究了生成多项式计数的问题(In this paper, the concept of multiple correlation m series, also studied the problem of generation polynomial count)

matlab写的自己设计的自适应网络做iris聚类分析并分类的实验，算法不是很稳定，有一定参考价值(matlab write ,adaptive cluster analysis and classification of iris experiment, the algorithm is not very stable and have a certain reference value)

matlab实现fisher判别，对于统计方面有重要的应用，适合初学者学习(fisher discriminant matlab realize, for statistics has important applications, suitable for beginners to learn)

聚类算法的验证，包括正确率等。经过验证，完全可用(clustering validity)