d

说明：  k均值聚类算法（k-means clustering algorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。(The k-means clustering algorithm is an iteratively solved clustering algorithm in which the data is pre-divided into K groups, the K objects are randomly selected as the initial clustering center, and then the distance between each object and the seed clustering center is calculated, and each object is assigned to the clustering center closest to it.)

应用简单的穷举算法解决遍历所有点距离最短的问题(Exhaustive algorithm to solve the problem through all of the shortest distance)

灰色预测的程序，灰色预测是对不确定系统数据的预测(Gray prediction procedure, gray prediction is for uncertain system data)

这是机器学习的一个经过整理的UCI数据集，适合与初学者使用！( This is a machine learning through the finishing of the UCI data set, suitable for beginners to use! )

matlab教程，matlab参考书，学习matlab必备啊！(matlab for study.)

关于大气MTF的资料，有助于理解大气MTF的作用，估计计算大气MTF的值。(The information on atmospheric MTF, help to understand the role of atmospheric MTF, estimate calculated atmospheric MTF value)

实现人员出入管理，输入和输出,人员的添加，管理！(to made the people s manage!)

matlab下的机器人避障的软件，比较简单清爽的界面，可以控制开始停止(matlab under the robot obstacle avoidance software, relatively simple and fresh interface, you can control start stop)

神经网络工具箱在matlab中的演示代码(Matlab neural network toolbox in the demo code)

说明：  先运用pca找到主要的影响变量，然后用rbf神经网络建模(First use PCA to find the impact of major variables, and then use the rbf neural network modeling)