Aug 22, 2024 · The proposed methodology is a quick and easy tool for estimating classifier combinations that outperforms the single classifiers during voting.
The proposed scheme uses the same concept of representing the classifiers decision as a vector in an intermediate feature space and builds more representatives ...
Abstract. Combination of multiple classifiers has been shown to in- crease classification accuracy in many application domains. Besides, the use of cluster ...
A new classifier combination scheme which is based on the Decision Templates Combiner and shows that the proposed scheme increases the classification ...
Bibliographic details on A New Classifier Combination Scheme Using Clustering Ensemble.
The proposed scheme uses the same concept of representing the classifiers decision as a vector in an intermediate feature space and builds more representatives ...
In this paper we propose an alternative to the kNN ensemble method through the use of a clustering technique applied for the purpose of selecting the ...
In this paper, a hybrid method has been proposed which are the combination of an ensemble, and grid and density-based clustering methods.
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This work introduces a supervised classification algorithm based on a combination of ensemble clustering and kernel method. The main idea of the algorithm lies ...