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Fast and simple spectral clustering in theory and practice
Peter Macgregor
School of Computer Science
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 'Fast and simple spectral clustering in theory and practice'. Together they form a unique fingerprint.
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Mathematics
Clustering
100%
Clustering Algorithm
100%
Dominates
33%
Eigenvector
33%
Graph Laplacian
33%
Laplacian Matrix
33%
Linear Time
33%
Power Method
33%
Running Time
33%
Computer Science
Clustering Algorithm
75%
Eigenvector
25%
Laplacian Matrix
25%
Spectral Clustering
100%