wel_log

matlab代码，用于三维显示的，我在外国ftp下的(matlab code for three-dimensional display)

This is very simple code for neural network fitting in Matlab and comparing with linear regression.

一本Matlab的经典教材，适合刚入门的新人，可以帮你解决初期遇到的很多问题！(Matlab a classic textbook for newcomers just getting started, you can help solve many problems encountered early!)

Proper Orthogonal Decomposition for 2D data

the phrase "the number value for x" has a technical meaning defined in section 8.5.

matlab数学建模工具箱，非线性整数规划图形工具(matlab toolbox of mathematical modeling, graphical tools for nonlinear integer programming)

matalab的书籍，洗碗柜几点发的上课了几分快乐的vfdbfsvfdv (On dem good things and academic research can be used to offer you and progressive)

谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。(Spectral clustering algorithm based on the reproduction diagram theory, compared with the traditional clustering algorithm, it can have on the arbitrary shape of sample space clustering, and the advantage of converge to global optimal solution.The algorithm firstly according to the given sample data set defines a description of the data points of similarity in pairs of affinity matrix, and computing the matrix eigenvalue and characteristic vector, and then choose the appropriate feature vector clustering of different data points.Spectral clustering algorithm was originally used in computer vision, VLS in areas such as design, I recently started used in machine learning, and quickly became a hot issue in the field of international machine learning research.)

说明：  用matlab求多项式的实根解答的代码，其中包含多种方法。。。(Using matlab to answer the real roots of a polynomial code, which contains a variety of methods. . .)

Locality Preserving Projections(LPP),局部保留投影，可以找出高维空间中的数据在低维空间中的投影，并保留了数据之间的相关性(Locality Preserving Projections (LPP), partial retention projection, you can find the data in high-dimensional space in a low dimensional space projection, and retains the correlation between data)