A Novel Multi-view Agglomerative Clustering Algorithm Based on Ensemble of Partitions on Different Views

In this paper, we propose a new algorithm for extending the hierarchical clustering methods and introduce a Multi-View Agglomerative Clustering approach to handle multi-view represented objects. Experiments on real world datasets indicate that our algorithm considering the relationship among multiple views can provide a solution with improved quality in multi-view setting. We find empirically that the multi-view version of our Agglomerative Clustering, independent of linkage method and given any number of views, greatly improves on its single-view counterparts.