Algorithms for hierarchical clustering: An Overview. / Murtagh, Fionn; Contreras Albornoz, Pedro.

Data Mining and Knowledge Discovery, Wiley Interdisciplinary Reviews (WIRES). John Wiley & Sons, 2011. (Wiley Interdisciplinary Reviews).

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)



We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments. We look at hierarchical self-organizing maps, and mixture models. We review grid-based clustering, focusing on hierarchical density-based approaches. Finally we describe
a recently developed very efficient (linear time) hierarchical clustering algorithm, which can also be viewed as a hierarchical grid-based algorithm.
Original languageEnglish
Title of host publicationData Mining and Knowledge Discovery, Wiley Interdisciplinary Reviews (WIRES)
PublisherJohn Wiley & Sons
Number of pages12
Publication statusPublished - 2011

Publication series

NameWiley Interdisciplinary Reviews
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 4075094