International Journal of Bioinformatics and Biomedical Engineering
Articles Information
International Journal of Bioinformatics and Biomedical Engineering, Vol.1, No.2, Sep. 2015, Pub. Date: Sep. 9, 2015
New Combined Clustering Method for Artificial Datasets
Pages: 195-204 Views: 1308 Downloads: 357
Authors
[01] Zahra Rezaei, Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad, Iran.
Abstract
In the past decade many new methods were proposed for creating diverse classifiers due to combination. In this paper a new method for constructing an ensemble is proposed which uses clustering technique to generate perturbation in training datasets. Main presumption of this method is that the clustering algorithm used can find the natural groups of data in feature space. During testing, the classifiers whose votes are considered as being reliable are combined using majority voting. This method of combination outperforms the ensemble of all classifiers considerably on several real and artificial datasets.
Keywords
Diversity, Classifier Fusion, Clustering, Classifier Ensembles
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