FisherFace(matlab)

MATHEMATICAL CODE FOR SPEECH USING MATLAB

Source Code for linearDatamaker and whileDataFailToRead

学习元胞自动机的好程序，尤其对于新手。可以和生命游戏等一起结合来入门学习。(Simulation of forest fire.)

对序列进行李亚普诺夫指数的运算，判断初始序列何时进入混沌状态(Lyapunov exponent of the sequence of operations, to determine when to enter the chaotic state of the initial sequence)

k近邻算法和KALMAN滤波相结合的一个实例论文(k nearest neighbor algorithm and the KALMAN filter paper an example of combining)

program for your use

用matlab实现RLS滤波，最小二乘估计算法是以最小误差平方和为优化目标的。(RLS filter using matlab, least squares estimation algorithm is the smallest sum of squared errors for the optimization objectives.)

ls-svm 最小二乘支持向量机数值分析与训练，包括蚁群算法和lssvm1.6安装(ls-svm including psolsssvm and svm1.6package)

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.)

matlab code bp neuralnetwork xor