AP聚类算法和案例

数据挖掘算法，高效用项集挖掘算法，加权频繁项集挖掘，HUIMINER算法，源码中有详细注释

说明：  内附源数据、代码及word。代码包括：平稳性检验、协整检验、滞后阶数的确定、VAR 模型的拟合、脉冲响应分析、VAR 模型的预测(Stationarity test, co integration test, determination of lag order, VAR model fitting, impulse response analysis, VAR model prediction)

将数据集转换为拉普拉斯矩阵，然后利用基于图论的谱聚类进行聚类。拉普拉斯矩阵采用高斯核函数，全连接方法计算。谱聚类擅长处理高维数据或非凸数据集。(The data set is transformed into Laplacian matrix, and then clustered by spectral clustering based on graph theory. The Laplacian matrix is calculated by using the Gauss kernel function and the full connection method. Spectral clustering is good at dealing with high-dimensional or non-convex data sets.)

基于matlab实现的一个在线迁移学习算法OTL,(Based on matlab to achieve an online migration learning algorithm OTL,)

牛顿插值法,选择插值节点文件,有点小麻烦()

Python实现Adaboost算法，数据集为horseColic马疝气病数据集，准确率和sklearn库中的adaboost算法一样。(Python implementation adaboost algorithm, the data set is horseColic horse hernia disease data collection, accuracy and sklearn library adaboost the same algorithm.)

分而治之方法与软件设计的模块化方法非常相似,为了解决一个大的问题,可以： 1) 把它分成两个或多个更小的问题； 2) 分别(The divide-and-conquer approach is very similar to the modular approach to software design. To solve a big problem, you can: 1) divide it into two or more smaller problems; 2))

PCA源程序，主元分析源程序，可以用于变量的特征提取(PCA source code, principal component analysis source, can be used for variable feature extraction)

用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)

請用星號( )排列出下列的 p箭 星號 D案,輸入 Y料 ne txt中的第一行為箭 的上下高度(必為奇數),第二行為 D案的總寬度()