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3D Subspace Clustering for Value Investing
Mar.-Apr. 2014 (vol. 29 no. 2)
pp. 52-59
Kelvin Sim, Institute for Infocomm Research
Vivekanand Gopalkrishnan, Deloitte Analytics Institute Asia
Gao Cong, Nanyang Technological University
Using Graham's rules on picking stocks has been proven to generate profits for value investors. The authors propose using 3D subspace clustering to generate rules to pick potential undervalued stocks; 3D subspace clustering is effective in handling high-dimensional financial data and is adaptive to new data. In addition, its results aren't influenced by human biases and emotions, and are easily interpretable.
Index Terms:
Three dimensional displays,Clustering algorithms,Testing,Training,Intelligent systems,Microwave integrated circuits,Current measurement,value investing,Three dimensional displays,Clustering algorithms,Testing,Training,Intelligent systems,Microwave integrated circuits,Current measurement,intelligent systems,financial data mining,subspace clustering
Citation:
Kelvin Sim, Vivekanand Gopalkrishnan, Clifton Phua, Gao Cong, "3D Subspace Clustering for Value Investing," IEEE Intelligent Systems, vol. 29, no. 2, pp. 52-59, Mar.-Apr. 2014, doi:10.1109/MIS.2012.24
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