Fusion and ensemble is important technique of machine learning. Fusion fused the feature attribute of different classifier and improved the classification of binary classifier. Instead of that ensemble technique provide the facility of merge two individual classifier and improve the performance of both classifiers. The ensemble technique of classifier depends on number of nearer point of classifier. For the selection of nearest point of classifier various authors used clustering technique for ensemble process. The cluster based ensemble technique suffered a problem of optimal selection of cluster during ensemble process. The generation of clustering technique is fixed due to this reasons the selection of optimal cluster is very difficult. In this paper gives the information about ensemble technique based on clustering and other technique.