Mga

has all operation included in morphology

pendulum stability simulation

在MATLAB中如何实现聚类分析原程序代码(In MATLAB, how to cluster analysis of the original program code)

在数学建模中关于炮弹弹道问题相关的一些程序(Some of the procedures in the mathematical modeling ballistic)

说明：  布谷鸟算法计算最小值优化 可以画图。。。。。(The cuckoo algorithm can be used to calculate the minimum value, and the graph can be drawn)

应用最大类间方差方法，对支票印鉴图像进行分割处理(Application of Otsu method, image segmentation seal check)

找指紋特徵點 並圈選出來的 matlab 程序(Matlab program to find the fingerprint feature points and circle out)

easy order reilable compile sort key modification need default call

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

说明：  GMM和KMean算法的易懂教程及Matlab实现、Vitebe译码算法的Matlab实现(Tutorial on GMM and KMean and Vitebe algorithms and their implementation in Matlab)