2010 JMLR JMLR 2010

Characterization, Stability and Convergence of Hierarchical Clustering Methods

Abstract

We study hierarchical clustering schemes under an axiomatic view. We show that within this framework, one can prove a theorem analogous to one of Kleinberg (2002), in which one obtains an existence and uniqueness theorem instead of a non-existence result. We explore further properties of this unique scheme: stability and convergence are established. We represent dendrograms as ultrametric spaces and use tools from metric geometry, namely the Gromov-Hausdorff distance, to quantify the degree to which perturbations in the input metric space affect the result of hierarchical methods. [abs] [ pdf ][ bib ] © JMLR 2010. (edit, beta)

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📈 Trend Setter — Geometry
🧭 Keyword Pioneer — gromov-hausdorff distance
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