Hybrid Clustering of Multiple Information Sources via HOSVD
نویسندگان
چکیده
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. keywords: hybrid clustering, HOSVD, spectral clustering, tensor
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