Selection of partitions from a hierarchy

https://doi.org/10.1016/0167-8655(93)90127-YGet rights and content

Abstract

A pragmatic stopping rule is proposed for helping a user select good partitions using agglomerative hierarchical clustering procedures. This rule combines the distance dissimilarity in a dendrogram with the squared-error criterion for the evaluation of partitions in all hierarchical levels. The usefulness and the limitation of the proposed rule are demonstrated with several data sets.

References (20)

There are more references available in the full text version of this article.

Cited by (13)

  • Multiscale modeling of a conditionally disordered pH-sensing chaperone

    2015, Journal of Molecular Biology
    Citation Excerpt :

    Further details concerning these simulations and the Gō-like model can be found in Refs. [18] and [34], respectively. For all-atom reconstruction from Cα-only coarse-grained conformers, we first clustered 1400 members of the unfolded ensemble with a hierarchical clustering algorithm [40] implemented in the Multiscale Modeling Tools for Structural Biology tool set [41]. The root-mean-square deviation of Cα coordinates served as the distance metric.

View all citing articles on Scopus
View full text