李萨如图形（含广义）绘制

说明：  使用K近邻方法对给定的一个样本进行分类。(K nearest neighbor method using a sample of a given classification.)

ActionBar高级定制(仿微信左右滑动TAB页)(ActionBar advanced customization (imitation micro-channel sliding around TAB page))

经典的信息论准则估计信号源个数。 使用空间谱估计理论，模拟发射信号由天线阵列接受采样。经过AIC和MDL两种算法，估计出采样序列中信号的个数，所加噪声是白噪声。(Classical information theory for sources number estimation. It s spatial spectrum estimation theory. it analogs transmission signal from the antenna array . It uses two algorithms“ AIC and MDL ”to estimate the number of sampled signal sequence. the added noise is white noise.)

kica算法，可用于各种故障检测，TE过程，镁炉检测(KICA algorithm can be used for various fault detection, TE process, and magnesium furnace detection.)

是一本英文版的关于matlab在金融领域应用的书籍，对于需要分析统计海量数据的人有一定帮助哦(This text describes a set of MATLAB functions that implement a host of econometric estimation methods. )

模式识别课小作业 简单感知器matlab实现(Pattern Recognition smaller jobs simple lesson Perceptron matlab implementation)

层次聚类，凝聚法指的是初始时将每个样本点当做一个类簇，所以原始类簇的大小等于样本点的个数，然后依据某种准则合并这些初始的类簇，直到达到某种条件或者达到设定的分类数目。(hierarchical clustering)

频率

Matlab code for pressure drop in porous media.

最小二乘回归法（PLSR：partial least squares regression)：是一种新型的多元统计数据分析方法，它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。(Least squares regression (PLSR: partial least squares regression): a new type of multivariate statistical data analysis methods, the main research is more dependent variable regression modeling of multi-argument, especially when highly linear within each variable When using partial least squares regression method is more effective. In addition, partial least squares regression better solution to the problem of the number of samples is less than the number of variables.)