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Contextual Correlation Preserving Multiview Featured Graph Clustering
Tiantian He
,
Yang Liu
*
, Tobey H. Ko
, Keith C.C. Chan
, Yew Soon Ong
*
Corresponding author for this work
Department of Computer Science
Research output
:
Contribution to journal
›
Review article
›
peer-review
40
Citations (Scopus)
Overview
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Dive into the research topics of 'Contextual Correlation Preserving Multiview Featured Graph Clustering'. Together they form a unique fingerprint.
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Keyphrases
Biological Modules
9%
Challenging Problems
9%
Clustering Model
9%
Common Subspace
9%
Community Detection
9%
Competitive Performance
9%
Computational Complexity Analysis
9%
Contextual Correlation
100%
Convergence Proof
9%
Detection Module
9%
Effective Method
9%
Feature Clustering
9%
Feature Views
9%
Graph Clustering
100%
Graph Clustering Algorithms
9%
Graph Datasets
9%
Graph Structure
9%
Graph Topology
9%
Iterative Strategy
9%
Latent Space
18%
Module Discovery
9%
Multi-view Features
18%
Optimization Problem
9%
Pairwise Features
27%
Proof Complexity
9%
Realistic Scenario
9%
Single Vector
9%
Single View
18%
Social Community
9%
Standard Graphs
9%
State-of-the-art Techniques
9%
Vertex Feature
18%
Computer Science
Clustering Graph
100%
Community Detection
9%
Complexity Analysis
9%
Computational Complexity
9%
Effective Method
9%
Graph Clustering Method
9%
Objective Function
9%
Optimization Problem
9%
Proof
9%
Structured Data
9%
Topology Graph
9%