M. García-Torres, Roberto Ruiz Sánchez, B. Melián-Batista, J. Moreno-Pérez, J. M. Moreno-Vega
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A Two-Phase Heuristic Construction of Feature Sets for Classification
The aim of feature selection applied to a classification task is to find a minimal subset of features for being used in the classification. Some researches have focused their effort on selecting a useful set of attributes, others on selecting a relevant and not redundant set of attributes. We proposed a heuristic construction algorithm for selecting a useful and not redundant subset of features. The algorithm proposed belongs to the filter approach and make use of a correlation measure for the task.
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