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Recursive structure similarity: A novel algorithm for graph clustering
Han Huhh
, Yixin Fang
, Rouming Jin
, Wei Xiong
, Xiaoning Qian
, Dejing Dou
,
Hai Phan
Mathematical Sciences
Data Science
Informatics
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Dive into the research topics of 'Recursive structure similarity: A novel algorithm for graph clustering'. Together they form a unique fingerprint.
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Keyphrases
Novel Algorithm
100%
Existing Algorithms
100%
Local Structure
100%
Recursive Structure
100%
Structure Similarity
100%
Graph Clustering
100%
Real-world Application
50%
Network Level
50%
Bioinformatics
50%
Social Computing
50%
Graph-based
50%
Global Network
50%
Network Analysis
50%
Similarity Measure
50%
Benchmark Dataset
50%
Quality Measures
50%
Clustering Algorithm
50%
Undirected Graph
50%
Clustering Results
50%
Recursive Method
50%
Novel Clustering
50%
Graph Clustering Algorithm
50%
Protein Dataset
50%
Computer Science
Clustering Algorithm
100%
Local Structure
100%
Recursive Structure
100%
Clustering Graph
100%
Social Computing
50%
Clustering Result
50%
World Application
50%
Global Network
50%
Quality Measure
50%
Directed Graphs
50%
Bioinformatics
50%