In this paper, we propose a novel semi-supervised consensus clustering algorithm based on multi-ant colonies. Our method incorporates pairwise constraints not ...
Semi-supervised Clustering Ensemble Based on Multi-ant Colonies ...
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In this paper, we propose a novel semi-supervised consensus clustering algorithm based on multi- ant colonies. Our method incorporates pairwise constraints not ...
Dec 23, 2015 · In this paper, we propose a novel semi-supervised multi-ant colonies consensus clustering algorithm and implement the parallelization of this ...
In this paper, we propose a novel semi-supervised consensus clustering algorithm based on multi-ant colonies. Our method incorporates pairwise constraints not ...
In this paper, we propose a novel semi-supervised consensus clustering algorithm based on multi-ant colonies. Our method incorporates pairwise ... [Show full ...
Abstract—Semi-supervised clustering ensemble has emerged as an important elaboration of classical clustering problem that improves quality and robustness in ...
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This paper presents a multi-ant colonies approach for clustering data that consists of some parallel and independent ant colonies and a queen ant agent.
Semi-supervised clustering ensemble has emerged as an important elaboration of classical clustering problem that improves quality and robustness in ...
The abstraction ant colony clustering algorithm can be used for efficient multivariate data clustering and produces results that are not only more accurate ...
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What is semi-supervised clustering?
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It aims to study and integrate multiple clustering results from different clustering algorithms or same algorithm with different initial parameters for the same ...