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Found 3 papers, 2 papers with code
Multi-parameter hierarchical clustering and beyond
We survey recent progress on multi-parameter hierarchical clustering, which has developed in several directions since it was introduced by Carlsson--M\'{e}moli in 2010.
Stable and consistent density-based clustering via multiparameter persistence
However, we prove that degree-Rips, as a multiparameter object, is stable, and we propose an alternative approach for taking slices of degree-Rips, which yields a one-parameter hierarchical clustering algorithm with better stability properties.
Visualization tools for parameter selection in cluster analysis
We propose an algorithm, HPREF (Hierarchical Partitioning by Repeated Features), that produces a hierarchical partition of a set of clusterings of a fixed dataset, such as sets of clusterings produced by running a clustering algorithm with a range of parameters.
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