An Efficient Actionable 3D Subspace Clustering Based on Optimal Centroids
نویسندگان
چکیده
An efficient Actionable 3D Subspace Clustering based on Optimal Centroids from continuous valued data represented three dimensionally which is suitable for real world problems profitable stocks discovery , biologically significant protein residues etc. It achieves actionable patterns ,incorporation of domain knowledge which allows users to choose the preferred utility(profit/benefit) function, parameter insensitivity, real world applications and excellent performance through a set of optimal centroids and by the combination of singular value decomposition, augmented lagrangian multiplier and 3D closed frequent item set mining. Keywords-actionable subspace clustering, financial mining,centroid based
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