搜索资源列表
globle_graph_mining
- 图挖掘，图聚类 m文件主要包含4个功能：图的生成，图相似度分析，节点符号化，边权挖掘 ，详细说明见注释-graph mining, graph clustering
GraphPrj
- 针对大规模稀疏无向图开发的聚类算法。附带测试页面-this program is supposed to embark on the undiret graph clustering issue.
cluster
- 在左视图上单击鼠标左键，可获得3种数据源：【标准数字聚类】、【手画图形聚类】、【位图文件分析聚类】。 (1) 标准数字 在工具条中按下【标准数字聚类】按钮后，选择工具条上提供的各种标准数字。在左视图就会得到多个标准数字。 每行中存放的标准数字个数与blank.bmp文件大小有关，读者可以自行修改该文件的大小，应注意该文件应该是n×n的，比如500×500 。 (2)手写数字 在工具条中按下【手画图形聚类】按钮后，拖动鼠标左键画各种数字或图形，注意每一个物体要连通。 (3
tutorial_on_spectral_clustering
- In recent years, spectral clustering has become one of the most popular modern clustering algorithms. It is simple to implement, can be solved efficiently by standard linear algebra software, and very often outperforms traditional clustering algo
Threetypicalspectralclusteringbasedongraphpartitio
- 三种典型的基于图分割的谱聚类方法比较，模式识别方向相关论文。-Three typical graph-based segmentation of spectral clustering comparison, pattern recognition, the direction of relevant papers.
@graph
- 复杂网络分析工具包，计算Clustering Coefficient，Assortativity和全局最短路径等参数-Complex network analysis tools package, calculated Clustering Coefficient, Assortativity and global parameters such as shortest path
kuaisujiance
- 提出一种结合小波变换与共现矩阵用于纺织品图像缺陷检测的方法。首先将灰度图像分解成子带 然 后将纹理图像分割成互不重叠的子窗口, 提取共现特征 最后用无缺陷样品训练的M ahalanob is分类器将每一子 窗口划分为缺陷的和无缺陷的。应用该算法进行实际工厂环境中的纺织品缺陷检测。实验结果表明, 集中处理 具有强判决能力的某一频带提高了检测性能, 也改善了计算效率。-Propose a wavelet transform and co-occurrence matrix for the
graphcut
- Kmeans 聚类，graphcut 图像分割,最大流最小割算法-Kmeans clustering, graphcut image segmentation, the maximum flow minimum cut algorithm
image-clustering
- 内容是英文的，是关于张量在图聚类上的应用的-Content is in English, is the tensor in the graph on the application of clustering
Clustering
- Clustering algorithm to cluster different nodes in graph.
Graph-characteristics
- 基于34人的Karate俱乐部网络，找出基本的网络特性-Based on the 34-vertex Karate Club network model, calculate the related graph characteristics: degree, betweenness centrality, closeness centrality, eigenvector(pagerank) centrality, clustering coefficients
graph
- BCDCP - Base-Station Controlled Dynamic Clustering Protocol
Ncut-Clustering
- 随机点的生成，基于图形的规范化分割使点聚类-product random points, graph-based for points segment and points clustering
Graph
- malab图论工具包 聚类系数 度 度分布 网络直径 小世界网络构造-malab clustering coefficient graph theory Kit degree degree distribution network diameter small world network structure
scotch_6.0.0.tar
- 一个很强大的图形计算处理软件，包括图像聚类，矩阵计算等-Scotch is a software package for graph and mesh/hypergraph partitioning, graph clustering, and sparse matrix ordering
Source-Code
- 数据挖掘经典算法实现。使用这个算法分别对图片和DBLP上面学者的合作关系图进行了聚类，然后评估聚类的结果。算法实现用的java，DBLP的数据的搜集和预处理是用Python编写。-Classical data mining algorithm. Using this algorithm, respectively, pictures and cooperation between scholars DBLP above graph clustering, and then evaluate th
Data-Clustering-with-Normalized-Cuts
- Data clustering using graph cut method
Node Similarity-based Graph Clustering and Visualization
- The basis of the presented methods for the visualization and clustering of graphs is a novel similarity and distance metric, and the matrix describing the similarity of the nodes in the graph. This matrix represents the type of connections between th
Graph-based clustering and data visualization algorithms
- This Matlab package is written specifically for the book Ágnes Vathy–Fogarassy and János Abonyi: Graph-based clustering and data visualization algorithms. The purpose of the package is to demonstrate a wide range of graph-based clustering and visuali
python-graph-clustering-master
- 蛋白质相互作用网络中，蛋白质复合物的预测，内含有多有经典的聚类算法(predict protein complex from PPI network)