Hybrid clustering of multiple information sources via HOSVD

Authors:
Xinhai Liu;Lieven De Lathauwer;Frizo Janssens;Bart De Moor
Affiliations:
ESAT-SCD, K.U Leuven, Leuven, Belgium;ESAT-SCD, K.U Leuven, Leuven, Belgium;ESAT-SCD, K.U Leuven, Leuven, Belgium;ESAT-SCD, K.U Leuven, Leuven, Belgium
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Year:
2010

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Abstract

We present a hybrid clustering algorithm of multiple information sources via tensor decomposition, which can be regarded an extension of the spectral clustering based on modularity maximization This hybrid clustering can be solved by the truncated higher-order singular value decomposition (HOSVD) Experimental results conducted on the synthetic data have demonstrated the effectiveness.