clegnup-cyclic-prefix

求解矩阵的最大最小特征值及对应的特征向量,以及计算条件数()

运用支持向量机对一组超宽带非视距信号识别(Support Vector Machine Signal Identification)

三次样条插值的C语言算法,但是总是数据溢出()

MonteCarlo仿真的C++源码,具有参考价值(C source code of MonteCarlo simulation, which has reference value)

该程序用于分类，用到的算法是Bagging and Knn 两种算法(This program is used for classification, the algorithm used is bagging and knn two algorithms)

生成随机数的算法,原书带的并不能直接使用,这是本人改的直接可用的()

此为利用optics聚类方法剔除风电异常数据后，采用极限学习机验证的代码(optics data mining)

《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))

GWR能够实现地理加权回归计算，里面有GWR4操作说明，虽然是英文，但有图片介绍，很容易理解，是GWR模型入门的好工具，适合经济学、数据挖掘等人员使用(GWR can realize geographically weighted regression calculation, including GWR4 operation instructions. Although it is in English, it has pictures to introduce, and is easy to understand. It is a good tool for GWR model entry. It is suitable for personnel such as economics and data mining.)

包含很多知名算法实现，支持向量机，决策树，粗糙集，贝叶斯分类器等，适合学术研究，短评论意见挖掘，文本分类等。