Abstract— In this paper, we present an application of. Multi–Objective Evolutionary Algorithm (MOEA) for generating cluster oriented ensemble classifier.
In this paper, we present an application of Multi–Objective Evolutionary Algorithm (MOEA) for generating cluster oriented ensemble classifier.
Oct 22, 2024 · Ensemble methods are a machine learning technique which iterate multiple ML algorithms over datasets, evaluate each base model, and combine the ...
Missing: oriented | Show results with:oriented
The proposed multiobjective evolutionary clustering ensemble algorithm (MOECEA) evolves a clustering solution from the input clusterings by optimizing two ...
Missing: oriented classifiers
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The purpose of this paper is to investigate a Multi-Objective Evolutionary Algorithm (MOEA) for optimizing neural ensemble classifiers.
Missing: oriented | Show results with:oriented
We adopt a multi-objective evolutionary algorithm (MOEA) for joint optimization of accuracy and diversity on our recently developed nonuniform layered cluster ...
In this article, we propose a novel particle swarm optimization-based approach to optimize the random subspace to generate an ensemble classifier. We first ...
We propose a novel Constrained Multi-Objective Evolutionary Algorithm with a Clustering-based Weight vector Adaptation strategy called CMOEA-CWA.
Apr 4, 2022 · A clustering ensemble is a technique applied to combining multiple different clustering results (generated by different clustering algorithms or ...
In this paper, an improved evolutionary multi-objective clustering algorithm based on autoencoder (AE-IEMOKC) is proposed to improve the accuracy and ensure ...