gaussian

optimization 的经典方法，这是第三个例子，共六个方法在其中。(optimization of the classical method, which is the third example, a total of six ways in which the.)

薛定宇《基于MATLAB、Simulink的系统仿真技术与应用》(a famous book bout matlab simulink writed by xue ding yu)

图论中关于最短路径的Dijkstra算法和通过两指定顶点的最短路径算法。(The shortest path on graph theory and the Dijkstra algorithm specified by two vertices of the shortest path algorithm.)

数学建模算法大全中的；偏最小二乘回归PLS(Partial least squares regression PLS mathematical modeling algorithm Daquan )

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

说明：  用matlab编写的图像聚类程序，包涵仿真程序，两种算法。(Prepared to use matlab image clustering procedures, includes simulation program, two algorithms.)

常规资料计算束缚水饱和度，是用于常规的资料处理等(Conventional data irreducible water saturation for conventional data processing)

这是仿真多普勒频移对脉压影响的程序，采用Matlab编写。(this is a program about the effect of the Doppler shift on PC.)

林智仁06年机器学习暑期学校讲义Talk at Machine Learning Summer School 2006, Taipei(Lin Zhiren 2006 Machine Learning Summer School handouts Talk at Machine Learning Summer School 2006, Taipei)

ITD进行模态识别，得到模态参数,ITD 法是一种单输入多输出、基于包含系统参数的自由振动方程识别结构参数的方法，(ITD modal identification, get the modal parameters.ITD method is a single-input multiple-output, based on the structure of the free vibration equation parameters include system identification method parameters,)