MCL - a cluster algorithm for graphsBiolayout, I IMcl, TheAlgorithm, Markov ClusterScience, Computer
MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs. - micans/mcl
MCL聚类算法
As described previously, HEM is ineffective on real world graphs. To overcome the limitation of HEM, we propose to use a graph coarsening which allows merging multiple nodes at a time. We call this scheme Shotgun Coarsening (SC) because it aggregates satellite nodes to the center one. Algor...
研究点推荐 Cluster Algorithm 引用走势 2017 被引量:7 0关于我们 百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。了解更多>> 友情链接 联系我们 ...
Clustering on Graphs: The Markov Cluster Algorithm (MCL)WIPHI )
The Markov Cluster Algorithm (MCL) is a fast and scalable unsupervised clustering algorithm for graphs. Chameleon is a new hierarchical clustering algorithm. With the over-fitting of MCL computational process, MCL is prone to producing small clusters. Chameleon clustering algorithm is not suitable for...
Another popular graph clusteringalgorithm MCL is based on stochastic flow simulation model for weighted graphs. There are plentifulapplications of power-law or scale-free graphs in nature and society. Scale-free topology is stochastic i.e.nodes are connected in a random manner. Complex network ...
RNSC uses stochastic local search method for clustering of a graph. RNSC algorithm tries to achieve optimal cost clustering by assigning some cost functions to the set of clusterings of a graph. Another standard clustering algorithm MCL is based on stochastic flow simulation model. RGG has ...