Computer Science – Information Retrieval
Scientific paper
2011-04-30
Computer Science
Information Retrieval
21 pages, 2 figures, 1 table, 69 references
Scientific paper
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.
Contreras Pedro
Murtagh Fionn
No associations
LandOfFree
Methods of Hierarchical Clustering does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Methods of Hierarchical Clustering, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods of Hierarchical Clustering will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-231752