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study_networkx.tar
- networkx example. A program of learning graph algorithms.
51MCchip
- 关于51单片机学习，有图配合讲解说明，很适合初学者-About 51 single-chip learning, a graph with the explanation that it is suitable for beginners
function-mapping
- 一段使用C语言编写的二维函数图形绘制程序，可在tuoboC 上运行，绘制的函数图形清晰、美观，可供C语言爱好者参考学习-Using the C language written in a two-dimensional function graph drawing program can be run in tuoboC, graphics functions to draw a clear, beautiful, available for C language enthusiasts ref
specgraph-PPT
- 文章是外文的，一篇很好的介绍谱图理论的文章，值得学习-Article is a foreign language, a good introduction to spectral graph theory article, worth learning
GTpaper
- matlab图论很好的学习书 matlab图论很好的学习书 matlab图论很好的学习书-good learning matlab graph theory graph theory, a good book to learn matlab matlab book a good learning book graph theory graph theory matlab matlab good learning books a good learning book graph theory
Prim
- 这是个用vc实现的图中最小生成树的动态演示，适合学习VC++和数据结构的同志参考。-This is achieved with the vc dynamic minimum spanning tree graph shows, for learning VC++ and data structures comrades reference.
bmp-transformation
- 自己编写的bmp位图结构转换算法，主要是围绕真彩色，伪彩色，灰度图，二值图之间的位图结构转换而写的算法，因为当初只是用于学习，所以程序运行中有一些内存泄露问题没有解决，但算法本身没有问题,可正确运行。-I have written bmp bitmap structure conversion algorithm, mainly around the true color, false color, grayscale, binary bitmap structure between graph
GrTheory
- matlab代码，图论很好的学习资料。实现图论中的各种功能。-matlab code, graph theory, a good learning materials. To achieve the various functions in graph theory.
SemiL
- 利用基于图的分类方法， 半监督学习 ，分类软件。-SemiL is efficient software for solving large scale semi-supervised learning or transductive inference problems using graph based approaches.
LGE
- 线性图嵌入方法，该方法是一种基于图框架的子空间学习方法，被用于LPP,NPE等流行学习方法中。-(Regularized) Linear Graph Embedding (Provides a general framework for graph based subspace learning. This function will be called by LPP, NPE, IsoProjection, LSDA, MMP ...)
RSE-v1
- RSE (Regularized Selective Ensemble) is a selective ensemble learning algorithm for binay classification, which constructs ensemble under the regularization framework. In current version, the graph Laplacian serves as the regularizer, and unlabeled d
opengl-excise
- 这是OPENGL初学者很好的一个学习例子。通过简单的平面图形绘制和变换画出一个笑脸，并以一定频率切换哭脸。内附opengl库。-This is an OPENGL a good learning example for beginners. Draw a simple planar graph and draw a smiley face change, and to a certain frequency switching crying face. Included opengl libra
networks1
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
networks2
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
networks3
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
networks4
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
networks5
- 随机网络学习笔记，中间有基本的随机图，规则图，以及其他图的生成代码-Random network learning notes, and there is a basic random figure, rules figure, and other graph generating code
Kconnection
- 图论中的k连通c++代码 用于学习图论使用的-Graph theory in the K. C++ code for learning the use of graph theory
metric-learning_survey_v2
- 关于metric learning的综述，涉及到许多的知识：SVM、kernel、SDP等-This paper surveys the field of distance metric learning from a principle perspective, and includes a broad selection of recent work. In particular, distance metric learning is reviewed under different
mdp-q
- 强化学习的谱聚类算法，实现基于图割的状态聚类-Reinforcement Learning spectral clustering algorithm to achieve the state of clustering based on graph cuts