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Motivated by the success of ensemble methods in supervised learning problem, cluster ensembles have started to gain an increasing interest. Since the absence of labeled training data, cluster ensemble is a more challenging task than multiple classifiers system. In this paper, a novel weighted combination model of multiple partitions was proposed, in which particle swarm optimization algorithm was...
A new combination model, which incorporated observational learning with Behavior Knowledge Space (BKS) method, was proposed in this paper. Observational learning is a process with three steps: training, observing, and retraining. The proposed model generated simulated data by observational learning to extend the datasets, so it is effective in solving the small sample size problem that BKS suffers...
A new combination model, which incorporated observational learning with Behavior Knowledge Space (BKS) method, was proposed in this paper. Observational learning is a process with three steps: training, observing, and retraining. The proposed model generated simulated data by observational learning to extend the datasets, so it is effective in solving the small sample size problem that BKS suffers...
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