Emergent Mind
Methods of Hierarchical Clustering
(1105.0121)
Published Apr 30, 2011
in
cs.IR
,
cs.CV
,
math.ST
,
stat.ML
,
and
stat.TH
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.
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