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A cluster based hybrid feature selection approach
(Universidade Federal do Rio Grande do Norte – UFRNSociedade Brasileira de Computação – SBCNatal, 2015-11)
Data collection and storage capacities have increased significantly in the past decades. In order to cope with the increasingly complexity of data, feature selection methods have become an omnipresent preprocessing step ...
BBA: A binary bat algorithm for feature selection
(2012-12-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a ...
Optimizing feature selection through binary charged system search
(2013-09-26)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...
Optimizing Feature Selection through Binary Charged System Search
(Springer, 2013-01-01)
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...