Chapter6

利用matlab源程序编写了可以绘制不同曲线的各种界面！(Prepared using matlab source code can draw a variety of different curves of the interface!)

skin detraction Channing the skin color to another color

通过internet远程对示波器通道数据进行采集与读取控制(through remote internet access for oscilloscope data acquisition and control Read)

Tutorial to understans EigenFaces & FisherFaces. It has pseudo code for Matlab implementation of Eigenfaces & FisherFaces

对偶单纯形法matlab编程，有逐句的说明(simplex write)

用广义预测控制的MATLAB程序使对象输出为1(Object output is a MATLAB program control with dynamic prediction of DMC)

Matlab 自定义窗函数的幅频分析，包括矩形窗，三角窗，汉宁窗，汉明窗等(Matlab customize the width of the window function frequency analysis, including rectangular windows, triangular windows, Hanning window, Hamming window, etc.)

var模型的实现。针对var模型的算法，估计模型的参数。并对其进行检验(achieve var model. Var model for the algorithm, the estimated parameters of the model. And its test)

基于帧差法的运动图像追踪,并将追踪目标框出，是图像追踪的一个简便有效的算法(motion tracking)

该matlab代码实现了“综合多分支分裂式层次化聚类” (Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC) “A competitive omnibus performance criterion for divisive multi-branching hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package is implemented in Matlab code and therefore demands the Matlab core program, as well as the Statistics toolbox of Matlab. Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the identification of sub-structures in multivariate data. Of particular interest is multi-branching DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly explored issue in multi-branching DHC concerns the actual importance of the two performance criteria (and their associated algorithms) to automatically create clusters and select number of clusters, respectively. Another interesting but hitherto unexplored issue is the possibility to employ a single omnibus performance criterion that guide)