BPSK_AWGN

Support Vector Machine

Manual de Matlab 4.2 en castellano

Hopf Bifurcation, Poincare map and Lyapunov exponents for 6D Hyperchaotic system

张正友摄像机标定中已知内参和外参的情形下，求解转移矩阵M的MATLAB源码(By Zhang Zhengyou camera calibration known internal control and external reference case, solving the transfer matrix M MATLAB source)

computes and plots a number of asset paths

求解有约束非线性规划实例MATLAB源程序(Solving constrained nonlinear programming)

this code is the Hodgkin-Huxley

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)

利用som算法进行数据的聚类，实现无监督聚类(clustering the data with the som algorithm, that can relizing unsupervised cluster)

descibes optical flow using lucas kanade algorithm. Example supplied help people understand easily