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一些基于matlab的遗传算法程序,非常经典(Matlab-based genetic algorithm procedure)

说明：  刚刚接触图像检索的同学，对基于特征的图像检索还没有什么概念，利用这个小的程序（里面附有图像和实例）感受一下过程，对于继续研究很有帮助。(Contact with students just image retrieval, the feature-based image retrieval has no concept of, take advantage of this little program (inside with images and examples) feel the process and continue to study for the useful.)

simulates the temperature distribution in a rod.

Perceptron and linear regression for linear separable datasets. Code is documented in English and report in German.

说明：  harrisi 算法，用此算法可以快速在图像中寻找到角点，快速 准确(harrisi algorithm)

学习MATLAB必须学会的一些简单示例，给初学者提供较好的学习过程。减少书写代码的时间(MATLAB must learn to learn some simple example to provide beginners a better learning process. Reduce the time writing code)

简单快速近邻算法是一种典型的模式识别方法：在二维平面一矩形范围内随机产生训练样本，任意划分为三个区域，用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)

该算法是实现Kmean聚类算法。包含初始聚类中心，聚类成员列表，最终聚类中心，最终聚类中心的距离，方差分析表，每个聚类中的案例数。(The algorithm is a clustering algorithm to achieve Kmean. Contains the initial cluster centers, cluster membership list, the final cluster centers the final cluster centers, ANOVA table, the number of cases in each cluster.)

可以用来求信号的上下包络线，在端点的处理上还有待优化(Demand signal envelope)

用matlab guide设计的一些要点，一本简单移动的文件(matlab guide)