cluster-analysis

数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法(Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm)

matlab语言实现的脊波变换源程序，图像多尺度分析的经典算法。(matlab language of the ridge wave transform source code, images, multi-scale analysis of the classical algorithm.)

Petri网: 基本概念和分析方法 ，对学习perti网仿真和很有帮助(Petri nets: basic concepts and analytical methods, simulation and helpful to learn perti Network)

说明：  lagrange插值 快捷计算插值，挺好的.(lagrange interpolation quick calculation of interpolation, quite good.)

这5个小程序分别为：用Monte Carlo随机法圆柱相交体的体积；用刘徽割圆法计算pi；梯形法.辛普森法计算圆周率；蒲丰掷针实验程序；线性函数的迭代(This five small programs were: using Monte Carlo random method cylinder intersects the volume cyclotomic method with Liu Hui pi trapezoidal method Simpson method to calculate pi Buffon throw needles experimental procedures linear function of iteration)

说明：  matlab利用遗传算法求解目标函数，包括适应度曲线(Matlab USES genetic algorithm to solve the objective function, including the fitness curve)

一个简单的程序，药物数据主成份分析，采用常见方法(err)

direct torque control of bldc with low torque ripple

圆卷积与线卷积在FIR中的实现，通过程序还开深刻理解两者间的差别和各自优劣。 1.圆卷积用在被截出的某段数据中，此时，长度应该定为和输入数据长度一致（一般输入数据大于hn的数），这时圆卷积结果相当于某段被截断出来的数据以非截断的方式经过滤波而得出的结果；线卷积用在各自独立的，离散的数据中，若截断数据也用线性卷积来计算，那么就相当与这部分数据是与源数据是独立的， 得出的结果时域两端会变长，但频谱基本上一样的。差别可以想象。 2.注意圆卷积最开始的输入数据的次序，构造矩阵时要注意。(Circular convolution with the line convolution in the FIR implementation, the program also opened a deep understanding of the difference between the two and their respective pros and cons. A circular convolution with cut out a certain period of data At this point, the length should be set for the same length as the input data (typically input data greater than hn the number), when the circular convolution is equivalent to a certain the results of the truncated data to the non-truncated filtered line convolution with a separate, discrete data, truncated data with a linear convolution calculation, then the equivalent of this part of the data is independent of the source data, the results of both ends of the time domain becomes long, but the spectrum is basically the same. The difference can imagine. Note that the order of the circular convolution of the input data to construct matrix.)

MATLAB几何变换，可以方便了解到所变换的几种形式(MATLAB geometric transformations, you can easily understand the transformation of several forms)