Multiple change points detection and clustering in dynamic networks

The increasing amount of data stored in the form of dynamic interactions between actors necessitates the use of methodologies to automatically extract relevant information. The interactions can be represented by dynamic networks in which most existing methods look for clusters of vertices to summari...

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Veröffentlicht in:	Statistics and computing 2018-09, Vol.28 (5), p.989-1007
Hauptverfasser:	Corneli, Marco, Latouche, Pierre, Rossi, Fabrice
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Change detection Clustering Mathematics Mathematics and Statistics Maximization Probability and Statistics in Computer Science Statistical Theory and Methods Statistics Statistics and Computing/Statistics Programs
Online-Zugang:	Volltext
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