Effective hierarchical clustering based on structural similarities in nearest neighbor graphs
Abstract
Hierarchical clustering allows better performance in grouping heterogeneous and non-spherical datasets than the center-based clustering, at the expense of increased time complexity. Meanwhile, the bottom-up approach of hierarchical clustering methods often tend to be sensitive or vulnerable to datasets containing obscure cluster boundaries. This paper presents an effective method for hierarchical clustering, called HCNN, which utilizes two types...
Paper Details
Title
Effective hierarchical clustering based on structural similarities in nearest neighbor graphs
Published Date
Sep 1, 2021
Journal
Volume
228
Pages
107295 - 107295
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