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- W4289433290 abstract "Recent work on dissimilarity-based hierarchical clustering has led to the introduction of global objective functions for this classical problem. Several standard approaches, such as average linkage, as well as some new heuristics have been shown to provide approximation guarantees. Here we introduce a broad new class of objective functions which satisfy desirable properties studied in prior work. Many common agglomerative and divisive clustering methods are shown to be greedy algorithms for these objectives, which are inspired by related concepts in phylogenetics." @default.
- W4289433290 created "2022-08-02" @default.
- W4289433290 creator A5057444173 @default.
- W4289433290 date "2022-07-28" @default.
- W4289433290 modified "2023-09-23" @default.
- W4289433290 title "Expanding the class of global objective functions for dissimilarity-based hierarchical clustering" @default.
- W4289433290 doi "https://doi.org/10.48550/arxiv.2207.14375" @default.
- W4289433290 hasPublicationYear "2022" @default.
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