资源列表
nmf
- 非负矩阵分解，处理合成孔径雷达图像，数据处理(The multichannel or wide-angle imaging performance of synthetic aperture radar (SAR) can be improved by applying the compressed sensing (CS) theory to each channel or sub-aperture image formation independently.)
关联规则脚本
- 运用R进行关联规则分析，对数据进行数据可视化操作(R language for association rules analysis, using R language for data visualization operations)
pfisher
- 用于对数据进行最优分割，内部有较详细备注文档(Matlab code for fisher optimal segment)
GetMP4ba
- 前两天看到MP4ba竟然加入了各种广告！！！故写了此爬虫来爬取所有的电影磁力链接。 可以爬取所有mp4ba的磁力链接喔(Two days ago, I saw MP4ba join all kinds of ads!!! So I wrote this crawler to climb up all the movie magnetic links. You can climb up all of mp4ba's magnetic links)
日常运动数据分析
- 用anaconda内部的科学库进行分析运动数据，并能对数据进行分类。(Anaconda's internal science library is used to analyze the motion data and to classify the data.)
MachineLearningInaction
- 本文件中的内容是《机器学习实战》这本书中的代码，语言采用的是python。(The content of this document is the code in this book "machine learning combat"and the language of code is Python.)
空间回归
- 检验数据在空间上分布是否具有规律性，并建立空间回归模型(The spatial distribution of the test data is regular, and the spatial regression model is established)
kaggleDemo
- 一个kaggle竞赛的案例，文件为ipython，可以自己实验运行(A kaggle competition case, the document is IPython, you can experiment running)
recommend
- 一个关于自己实现推荐系统的案例，搞清楚推荐系统的实现过程(A recommendation on the implementation of their own system, clear the recommendation system to achieve the process)
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
Structured-Streaming
- Structured-Streaming的使用说明(Building-Continuous-Application-with-Structured-Streaming-and-Real-Time-Data-Source-with-Arijit-Tarafdar-and-Nan-Zhu-iteblog)
WS_net
- 复杂网络中小世界网络生成程序，可以用matlab生成制定聚类系数 连接概率和平均最短路径长度的经典小世界网络(A small world network generating program for complex networks, which can be used to generate a classical small world network with clustering coefficients, connection probabilities and average sho