Combinatorial Structural Clustering (CSC): A Novel Structural Clustering Approach for Large Scale Networks

With the development of the brain cognition science and big data technologies, effective graph clustering is a key technique to uncover the brain mechanism, especially in resting state functional connectivity analysis. In this paper, a combinatorial structural clustering (CSC) algorithm is proposed...

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Bibliographic Details
Published inIntelligent Systems Design and Applications Vol. 557; pp. 427 - 436
Main Authors Chen, Liang, Liu, Hongbo, Zhang, Weishi, Zhang, Bo
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesAdvances in Intelligent Systems and Computing
Subjects
Artificial intelligence
Big data
Combinatorial structural cluster
Complex network
fMRI
Online AccessGet full text
ISBN9783319534794
3319534793
ISSN2194-5357
2194-5365
DOI10.1007/978-3-319-53480-0_42

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Summary:With the development of the brain cognition science and big data technologies, effective graph clustering is a key technique to uncover the brain mechanism, especially in resting state functional connectivity analysis. In this paper, a combinatorial structural clustering (CSC) algorithm is proposed for large scale networks. A structural similarity feature from adjacency structures of outliers and hubs is introduced to brain functional connectivity networks. Experimental results illustrate that our approach has some advantages compared with SCAN.
ISBN:9783319534794
3319534793
ISSN:2194-5357
2194-5365
DOI:10.1007/978-3-319-53480-0_42