Multiview Clustering Based on Tensor Solutions

Integrating multiview cluster is an crucial issue in heterogeneous environment. Spectral clustering is used for integrating cluster in heterogeneous environment. In this paper, we used tensor decomposition for identifying hidden pattern in the context of spectral clustering. This gives the good result when compared to other methods. Here synthetic datasets are used for evaluating the results. In most of the tensor solution two dimensional or three dimensional data are used. The higher order datasets are used in multiview clustering