What is it about?
As a research hotspot in ensemble learning, clustering ensemble obtains robust and highly accurate algorithms by integrating multiple basic clustering algorithms. Most of the existing clustering ensemble algorithms take the linear clustering algorithms as the base clusterings.
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Why is it important?
A new ensemble clustering algorithm is constructed by using hierarchical clustering as base clustering.
Perspectives
Furthermore, this paper hopes to propose an efficient and general ensemble framework in the future, which does not require complex parameter adjustment operations.
Yuan Sun
Shanghai University of Electric Power
Read the Original
This page is a summary of: A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped, Intelligent Data Analysis, September 2022, IOS Press,
DOI: 10.3233/ida-216112.
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