Performance Analysis of Data Clusterization & Classification Using Hybrid Algorithm: A Review

Abstract? This paper presents analysis of data clusterization for high dimensional data. Clustering becomes very difficult due to the increasing sparsity of data. To avoid this sparsity of data and curse of dimensionality, the hubness phenomenon is used. Hubnes is a good centrality point within a high dimensional data cluster. IAbstract? This paper presents analysis of data clusterization for high dimensional data. Clustering becomes very difficult due to the increasing sparsity of data. To avoid this sparsity of data and curse of dimensionality, the hubness phenomenon is used. Hubnes is a good centrality point within a high dimensional data cluster.Index Terms? Clustering, Curse of dimensionality, Hubs