Global considerations in hierarchical clustering reveal meaningful patterns in data.
BACKGROUND: A hierarchy, characterized by tree-like relationships, is a natural method of organizing data in various domains. When considering an unsupervised machine learning routine, such as clustering, a bottom-up hierarchical (BU, agglomerative) algorithm is used as a default and is often the on...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2008-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC2375056?pdf=render |