Projects per year
Abstract
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.
a recently developed very efficient (linear time) hierarchical clustering algorithm, which can also be viewed as a hierarchical grid-based algorithm.
Original language | English |
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Title of host publication | Data Mining and Knowledge Discovery, Wiley Interdisciplinary Reviews (WIRES) |
Publisher | John Wiley & Sons |
Number of pages | 12 |
DOIs | |
Publication status | Published - 2011 |
Publication series
Name | Wiley Interdisciplinary Reviews |
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Publisher | Wiley |
Projects
- 1 Finished
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New Mathematical approaches for structuring and searching through, very large compressed encrypted textual data stores
Murtagh, F. (PI) & Contreras Albornoz, P. (CoI)
Eng & Phys Sci Res Council EPSRC
1/11/06 → 31/03/10
Project: Research