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
gaston-1.1.tar
- 频繁子图挖掘算法gaston的实现。通过这个算法可以迅速挖掘给定图数据库的频繁图挖掘算法。 这个2004年提出的算法，从目前实验来看，是优于广泛使用的gspan算法的，特别是在生物数据上，化学数据库上跟有效。-an algorithm for frequent subgraph discovery for gspan.It can be used to find frequent subgraph quickly
gSpan6.tar
- 频繁图挖掘实现算法gspan，用C++语言实现-an algorithm for subgraph discovery named gspan,it was first found by famous machine learning expert Jiawei Han
gSpan
- Which is used to subgraph mining
gspan
- gspan sourcecode for graph mining
gSpan
- gSpan is a software package of mining frequent graphs in a graph database. Given a collection of graphs and a minimum support threshold, gSpan is able to find all of the subgraphs whose frequency is above the threshold.
frequent-subgraph
- 用于图集上子图搜索的代码，gSpan和FFSM的源码，都是在linux下运行，其中gSpan包括直接可以用shell运行的二进制文件和一个C&matlab版本，FFSM是C&matlab版本-Atlas subgraph search for the code, gSpan and FFSM source, are run under linux, which can be used directly gSpan including binaries and shell to run a C &
gSpan-fullversion
- gspan fullversion,very good
DataMining_GSpan
- 基于matlab的数据挖掘算法Gspan算法，能够有效实现功能-Matlab-based data mining algorithms Gspan algorithm can effectively achieve functional