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《MATLAB统计分析与应用》程序与数据有聚类分析、判别分析、主成分分析、因子分析、方差分析、数据拟合、Copula理论等(Statistical analysis and application of "MATLAB" program and data clustering analysis, discriminant analysis, principal component analysis, factor analysis, variance analysis, data fitting, such as Copula theory)

说明：  matlab书籍很好 很好 的文章 (matlab books very good very good article)

基于matlab建立的关于汽车轴的控制模型，包括轴的运动方程和模型的建立。其实在ADVISOR中可以找到，不过，用matlab2012版重新建立了。(Established based on matlab axis control on the car model, including axis motion equations and model. ADVISOR can be found in the fact, however, re-established with matlab2012 version.)

通过使用matlab，对层次分析法进行求解，从而进一步确定权重，更快的解决问题。(By using matlab, the analytic hierarchy process (AHP) is solved to further determine the weight and solve the problem more quickly.)

说明：  数字图像的纹理分析应用实例，可以计算图像的能量，熵，惯性矩，局部平稳性和相关。~..~(digital image texture analysis application, the images can be calculated energy, entropy, moment of inertia, local smooth and relevance. ~ ~ ..)

6603二次开发运营版炸金花，带前后台控制(6603 Golden fried version of the secondary development operations)

an a dedicated hyperterminal

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

Based on ECMA 2 Draft 7 February 1999.