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此程序详细分析了LORENZ，利用GP算法进行了分析，其程序算法较快，有待继续改进(A detailed analysis of this process LORENZ, the use of GP algorithm is analyzed, the program algorithm faster, be to continue to improve)

说明：  这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。(This is the "Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation" (referred to as LGIF model) of the MATLAB source code. LGIF model is very important to local area active contour model, which combines the CV model and the merits of LBF model.)

Hapke2002年模型仿真，以及模型参数的反演。(Hapke model implementation)

说明：  基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用，本文提出 的基于相对密度的聚类算法，在继承上述优点的基础上。有效地解决了基于密度的聚类结果对参数值过于敏感、参数 值难以设置以厦高密度簇完全被相连的低密度簇所包含等问题。(Density-based clustering algorithm because of its strong resistance to noise and can find clusters of arbitrary shape, etc., in the cluster analysis is widely used, the proposed clustering algorithm based on the relative density, in succession on the basis of the above-mentioned advantages. Effectively solve the density-based clustering results on the parameter value is too sensitive, difficult to set the parameter value to high-density clusters of buildings connected to the low-density clusters are completely contained and other issues.)

The paper concludes with an implementation of linear prediction using two different types of signal. It is hoped that the balance between theory and practical will allow the reader for easy assimilation of this technique

Matlab source code for Z-SEP research paper

支持向量机的程序，可以直接使用，对于初学者也很使用(Support vector machine (SVM) program, which can be used directly )

Calculate the least squares approximation method.

Bootstrap function code

matlab入门教程，分简单与详细两个版本。html格式，内有大量源码可直接复制运行。()