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. © 2010 Springer-Verlag.
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Liu, X., De Lathauwer, L., Janssens, F., & De Moor, B. (2010). Hybrid clustering of multiple information sources via HOSVD. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6064 LNCS, pp. 337–345). https://doi.org/10.1007/978-3-642-13318-3_42
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