mt_1d

说明：  上数据挖掘课的课件，是EM算法的，其中还包括最大似然值，最大似然估计，以及cluster(data mining,EM Algorithm ,Likelihood, Mixture Models and Clustering )

统计格点数据文件A和文件B中物理量间的相关系数，平均误差，均方根误差，绝对误差。(Statistics grid data file A and file B, the correlation between physical quantities, the average error, root mean square error, absolute error.)

说明：  利用MATLAB实现了16位快速傅立叶变换，并与自包含函数进行了比较。(The 16-bit Fast Fourier Transform is realized by using MATLAB and compared with the self-contained function.)

贝叶斯网络结构学习爬山算法的改进方法，更准确(Improved Bayesian network structure learning climbing algorithm, more accurate)

C写的填充算法源码 算法可是在编程中可是非常重要的 大家可以参考一下这个代码,学习一下算法(C padding algorithm source code algorithm but in programming is very important, you can refer to this code, learn the algorithm)

说明：  Optics聚类算法 OPTICS没有显示地产生一个数据集合簇，它为自动和交互地聚类分析计算一个簇次序。这个次序代表了数据基于密度地聚类结构。它包含地信息，等同于从一个宽广地参数设置范围所获得的基于密度的聚类(Optics do not show clustering algorithm OPTICS to produce a collection of data clusters, it is automatically and interactively computing cluster analysis a cluster order. This order represents the data to cluster based on the density structure. It contains in information from a broadly equivalent range of parameters obtained by density-based clustering)

雅可比迭代（过关法）计算实对称矩阵的特征值和特征向量(Jacobi iteration (immigration law) the calculation of Real Symmetric Matrix Eigenvalues and eigenvectors)

浮点复数基2时分FFT完成适当的FFT，输出改写输入缓冲器。(floating-point complex FFT-based two hours to complete the FFT output rewritten input buffer.)

实现重力式热管换热器设计计算功能，简单按照设计任务书，给出所需热管的结构尺寸，涉及的热管蒸发段和冷凝段长度分别为1m，绝热段长度30cm，内径20cm，外径25cm，热管工质为水。(C language for thermosyphon s design.Realize the gravity heat pipe heat exchanger design and calculation functions , simple design in accordance with the mission statement , given the size of the required structure of the heat pipe , heat pipe evaporator and condenser section lengths were involved 1m, adiabatic length 30cm, inner diameter 20cm, 25cm outside diameter heat pipe working fluid is water.)

利用MATLAB程序实现时间序列的预测功能(Using MATLAB program to achieve prediction function of time series.)