Designing an ensemble classifier over subspace classifiers using iterative convergence routine

Abstract

There can be multiple classifiers for a given data set. One way to generate multiple classifiers is to use subspaces of the attribute sets. In this paper, we generate subspace classifiers by an iterative convergence routine to build an ensemble classifier. Experimental evaluation covers the cases of both labelled and unlabelled (blind) data separately. We… (More)
DOI: 10.1145/2063576.2063678

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