'Graph clustering' diaporamas de présentation

Local Sparsification for Scalable Module Identification in Networks

Local Sparsification for Scalable Module Identification in Networks. Srinivasan Parthasarathy Joint work with V. Satuluri , Y. Ruan , D. Fuhry , Y. Zhang. Data Mining Research Laboratory Dept. of Computer Science and Engineering The Ohio State University.

582 views • 57 slides

Optimized Graph Search Using Multi-Level Graph Clustering

Optimized Graph Search Using Multi-Level Graph Clustering. Rahul Kala, Department of Information Technology Indian Institute of Information Technology and Management Gwalior http://students.iiitm.ac.in/~ipg_200545/ rahulkalaiiitm@yahoo.co.in, rkala@students.iiitm.ac.in.

480 views • 29 slides

Information Networks

Information Networks. Graph Clustering Lecture 14. Clustering.

297 views • 29 slides

A scalable multilevel algorithm for community structure detection

283 views • 26 slides

Graph Clustering based on Random Walk

Graph Clustering based on Random Walk. Bing Lidong 2010-02-10. Outline. Background Graph Clustering Random Walks MCL Basis Inflation Operator Algorithm Convergence MCL++ R-MCL MLR-MCL. Outline. Background Graph Clustering Random Walks MCL Basis Inflation Operator Algorithm

255 views • 23 slides

Clustering Uncertain Data Items

Clustering Uncertain Data Items. TEAM 3. Outline. Problem Statement Our Contributions Description of Methods Comparisons Trends in clustering Future work Conclusions References. Problem Statement. In many applications data contains inherent uncertainty.

348 views • 21 slides

Scalable Graph Clustering using Stochastic Flows Applications to Community Discovery

Scalable Graph Clustering using Stochastic Flows Applications to Community Discovery. Venu Satuluri and Srinivasan Parthasarathy. Data Mining Research Laboratory Dept. of Computer Science and Engineering The Ohio State University. http://www.cse.ohio-state.edu/dmrl. Outline. Introduction

327 views • 18 slides

Graph mining in bioinformatics

Laur Tooming. Graph mining in bioinformatics. Graphs in biology. Graphs are often used in bioinformatics for describing processes in the cell Vertices are genes or proteins The meaning of an edge depends on the type of the graph Protein-protein interaction Gene regulation.

361 views • 15 slides