Binary-PSO

关于matlab解决聚类问题的相关程序，包含蚁群算法和K均值算法，可以一看，部分附带程序，非本人原创。(About matlab to solve clustering problem related procedures, including the ant colony algorithm and K-means algorithm, one can see, some incidental proceedings, not my original.)

说明：  排列熵算法是一种动力学突变检测方法，能够方便、准确的定位系统发生突变的时刻，并且对于信号的微小变化具有放大作用(Permutation entropy algorithm is a dynamic mutation detection method, which can easily and accurately locate the moment of system mutation and amplify the small change of signal)

适合刚搞Matlab的菜鸟学习 适合刚搞Matlab的菜鸟学习(Discrete Fourier Transform Discrete Fourier Transform)

matlab函数精心汇总，编程、仿真必备资料。(Matlab function carefully bundled programming, simulation required information.)

pca技术的一些使用方法，为MATlAB代码(very useful,you must like it )

此代码为一个目标跟踪程序，直接运行程序即可，此外还有其他参数的显示(This code for a target tracking program, you can run the program directly, in addition to the display of other parameters)

数据分析与解方程，绘图，插值，拟合，以及一些经典的matlab算法程序(Data analysis and solution of equations, mapping, interpolation, fitting, as well as some classic algorithm matlab program)

这使单相电机变频调速方面的MATLAB仿真资料，很好的(This allows single-phase motor VVVF MATLAB simulation aspects of information, good)

Modified Gram-Schmidt (MGS)正交化法是利用已有正交基计算新的正交基。既能选择相关特征，又能排出已选特征对后续特征选择的影响。(Modified Gram-Schmidt (MGS)orthogonalization gives new orthogonal basis through original orthogonal basis. It can do the feature selection and eliminate the impact on choosing new feature vector by the selected one.)

WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?