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 Principal Modularity Maximization based 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 by comparing with Average Modularity Maximization and Total Modularity Maximization methods.