Central Clustering of Attributed Graphs.

Partitioning a data set of attributed graphs into clusters arises in different application areas of structural pattern recognition and computer vision. Despite its importance, graph clustering is currently an underdeveloped research area in machine learning due to the lack of theoretical analysis an...

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Bibliographic Details

Published in:	Machine learning. 56, 1-3 (2004).
Main Author:	Jain, Brijnesh J.
Format:	Article
Language:	English
Subjects:	Attributed graphs. Graph matching. K-means clustering. Weighted maximum clique. Hopfield networks. Winner-takes-all networks.