scm

说明：  随机森林做特征选择py程序feature selection by using random forest(feature selection by using random forest)

现有基于M apX 的最优路径分析, 对于TAB 格式数据拓扑信息的提取方法单一, 且未考虑导航特征。该文 结合道路导航特点, 提出了一套基于MapX 的最优路径分析解决方案。首先由T AB 格式数据提取拓扑信息, 为最 优路径分析奠定数据基础 然后针对导航的特征, 即最优路径分析的起点和终点可能出现在道路网外, 着重讨论了 对于Dijkstra 算法的拓展。(M apX the optimal path analysis, a single topology information for the TAB format data extraction methods, and did not consider the navigation features of. In this paper, combined with road navigation features, a set of optimal path analysis based on MapX solution. First extract topology information by T AB format data, to lay a data base analysis for the optimal path and navigation features, the start and end points of the optimal path analysis may appear in the road network, focused on the expansion of the Dijkstra algorithm.)

说明：  基于MapX / MFC / xtreme toolkit开发的地图配置小工具(Based on MFC, XTtool, MapX map configuration gadget development)

说明：  Pytorch-Deep-Neural-Networks-master

《为我们的世界建模》（Modeling Our World）高清版的电子文档，很好的GIS学习教材，很值得珍藏和学习，对深入理解GIS很有好处。(Modeling Our World high-definition version of the electronic document, a good GIS learning materials, it is worth collecting and learning, in-depth understanding of GIS is very good.)

Python密度聚类 最近在Science上的一篇基于密度的聚类算法《Clustering by fast search and find of density peaks》引起了大家的关注(在我的博文“论文中的机器学习算法——基于密度峰值的聚类算法”中也进行了中文的描述)。于是我就想了解下基于密度的聚类算法，熟悉下基于密度的聚类算法与基于距离的聚类算法，如K-Means算法之间的区别。 基于密度的聚类算法主要的目标是寻找被低密度区域分离的高密度区域。与基于距离的聚类算法不同的是，基于距离的聚类算法的聚类结果是球状的簇，而基于密度的聚类算法可以发现任意形状的聚类，这对于带有噪音点的数据起着重要的作用。(The main goal of the density based clustering algorithm is to find high density regions separated by low density regions. Different from distance based clustering algorithm, the clustering results based on distance clustering algorithm are spherical clusters, and density based clustering algorithm can detect clustering of arbitrary shapes, which plays an important role in data with noisy points.)

说明：  GDAL2.4 C#接口编译库及示例，亲测支持中文路径、中文字段名、中文记录，最新编译库32位库(Gdal2.4 C# interface compiler library and examples, pro test support Chinese path, Chinese field name, Chinese record, the latest compiler library 32-bit library)

Openstack Ironic 开发文档(OpenStack Ironic Dev Guide)

笨办法学Python3， 通过50道简单题目来上手Python，炒鸡适合初学者（全英文，不过难词较少，过了4级就可以看）(LEARN PYTHON 3 THE HARD WAY__ A Very Simple Introduction To The Terrifyingly Beautiful World Of computers And Code, Third Edition by Zed A. Shaw)

音调识别算法python 包含音频文件及相应源码 源码以python代码编写(pitch detection algorithm python)