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模式识别领域里的聚类分析：C-MEANS算法(Cluster analysis: C-MEANS ALGORITHM)

Matlab优化工具箱的几个函数调用例题(Matlab Optimization Toolbox, a few Examples)

说明：  一个典型的蚁群算法示例,可以参考学习,讨论.一个很好的典型的蚁群算法示例,(A typical ant colony algorithm for example, can refer to learn, discuss. A very good example of a typical ant colony algorithm,)

子集和的迭代算法,一个序列，序列中得子集和等于给定数的所有解答(subset sum ：iterative method)

实现卡尔曼滤波功能，建立了一个对位置观测的系统，同时加入了速度噪声，完成了Matlab的仿真。(Kalman filtering, established a system of observation position, while adding speed noise, completed the Matlab simulation.)

利用龙格库塔法解光波导激光器的重叠因子的传输方程，从而得到输出功率(Runge-Kutta method using optical waveguide laser solutions overlap factor of the transfer equation, thus the output power)

Spectral analysis. Analysis, signal coding and voice synthesis in Matlab

用simlink开发的space-time coding仿真模型,仿真的精度与效率有不小的提高(with simlink development of the space-time coding model, Simulation accuracy and efficiency are not a small increase)

Linear algebra problems!

模式识别作业-完全自编仿真程序。先用PCA对IRIS数据集进行降维，然后用最小错误法对降维的数据进行分类。压缩包中既包括matlab源代码，又有自己写的报告，还有.MAT格式的IRIS数据集用作程序调用。程序有详细注释，很容易懂。最后结果输出到txt文件中。(Pattern recognition operations- completely self simulation program. First on the IRIS data set with PCA dimension reduction, and then with the minimum error method to classify the data dimension reduction. Both compressed package matlab source code, but also write their own reports, as well. MAT format, the program calls for IRIS data set. Procedures detailed notes, it is easy to understand. Finally, the output to a txt file. )