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Hierarchical clustering with OWA-based linkages, the Lance-Williams formula, and dendrogram inversions

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arxiv 2303.05683 v2 pith:PFWJ6OUE submitted 2023-03-10 stat.ML cs.LG

Hierarchical clustering with OWA-based linkages, the Lance-Williams formula, and dendrogram inversions

classification stat.ML cs.LG
keywords linkagesclusteringformulahierarchicalinversionslance-williamsowa-basedagglomerative
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Agglomerative hierarchical clustering based on Ordered Weighted Averaging (OWA) operators not only generalises the single, complete, and average linkages, but also includes intercluster distances based on a few nearest or farthest neighbours, trimmed and winsorised means of pairwise point similarities, amongst many others. We explore the relationships between the famous Lance-Williams update formula and the extended OWA-based linkages with weights generated via infinite coefficient sequences. Furthermore, we provide some conditions for the weight generators to guarantee the resulting dendrograms to be free from unaesthetic inversions.

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