Breaking the Two Approximation Barrier for Various Consensus Clustering Problems
Debarati Das, Amit Kumar
2025Year
1Top-tier citations
Abstract
Consensus clustering is a method used to combine the results of multiple clustering algorithms applied to the same dataset. The goal is to find a single clustering solution that represents the common structure present in the various input clusterings, thereby improving the overall quality and robustness of the clustering outcome.
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