资源列表
density-peaks-clustering
- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码 This is a simple density peak clustering code, compared to the original author of the code to be concise and rapid. And provides RI index de
simpleMKL
- 多核学习之simpleMKL工具箱，里面包含了simpleMKL算法和MKL-wrapper算法，其中原始工具箱中MKL-wrapper不能运行，此处已进行了修正。-Multi-core learning simpleMKL toolbox, containing the simpleMKL algorithm and MKL- wrapper algorithm, the original toolbox MKL- wrapper can not run, has been revised.
TurbulentWindGenerator
- 三维风场模拟.利用Kaimal spectrum结合FFT进行风场模拟，生成风速时程得进行必要参数的定义。-3D Turbulent Wind Generation。 Generation of three-dimensional turbulent wind fields, by employing a Kaimal spectrum and IEC-based coherence function.
Spark快速大数据分析
- 利用Python和Spark进行海量数据的实时分析，解决商业方案(Using Python and Spark to do real-time analysis of mass data, and to solve business solutions)
R
- 金融数据的 R 分析，包括线性模型，时序分析，波动率分析，VaR 风险分析等。(An Introduction to Analysis of Financial Data with R)
CnkiSpider-master
- CNKI爬虫代码，可以用来爬取知网论文题录信息(CNKI crawler code can be used to take up the National Bibliographic Information)
机器学习与R语言（machine_learning）
- 机器学习与R语言（machine_learning）源代码下载，内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)
局部线性嵌入
- 利用局部线性嵌入算法将高维数据映射到低维空间中，达到降维效果；(The local linear embedding algorithm is used to map the high dimensional data into the low dimensional space to achieve the effect of reducing the dimension.)
GWR4操作说明
- 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
gfftogenebank
- 转换GFF文件to genbank格式文件。(Convert GFF files to genbank format files.)
从零开始学Python网络爬虫源代码+教学PPT
- 《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))
KMeans
- 用matlab 实现了kmeans算法还附有评价指标计算(Matlab to achieve kmeans algorithm also attached to the evaluation index calculation)