Abstract: Clustering ensemble selection has been confirmed that it can always achieve better result than traditional clustering ensemble algorithms.
May 29, 2015 · Clustering ensemble selection has been confirmed that it can always achieve better result than traditional clustering ensemble algorithms.
Feb 1, 2019 · Clustering ensemble selection has been confirmed that it can always achieve better result than traditional clustering ensemble algorithms.
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May 1, 2024 · This paper develops a multi-objective optimization-based approach to the cluster ensemble selection problem and designs a solution framework to find a ...
Clustering ensemble selection chooses a subset of ensemble members and forms a smaller cluster ensemble that performs better than the clustering ensemble.
The algorithm, firstly, uses clustering validity evaluation to evaluate all available clustering ensemble partitions and selects the best quality as reference ...
Sep 20, 2022 · In this paper, an efficient ensemble hierarchical clustering algorithm based on MapReduce-based clusters clustering technique and an innovative similarity ...
The ensemble selection problem addresses this issue of consensus clustering. In this paper, we propose an efficient method of ensemble selection for a large.
Dec 25, 2018 · In this paper, we propose a transfer CES (TCES) algorithm which makes use of the relationship between quality and diversity in a source dataset, ...
Clustering ensemble selection is an effective technique for improving the quality of clustering results. However, traditional methods usually measure the ...