Self-tuned kernel spectral clustering for large scale networks

We propose a parameter-free kernel spectral clustering model for large scale complex networks. The kernel spectral clustering (KSC) method works by creating a model on a subgraph of the complex network. The model requires a kernel function which can have parameters and the number of communities k ha...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Mall, Raghvendra, Langone, Rocco, Suykens, Johan
Format:	Tagungsbericht
Sprache:	eng
Online-Zugang:	Volltext
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