Hierarchical clustering using the arithmetic-harmonic cut: complexity and experiments.
Clustering, particularly hierarchical clustering, is an important method for understanding and analysing data across a wide variety of knowledge domains with notable utility in systems where the data can be classified in an evolutionary context. This paper introduces a new hierarchical clustering pr...
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| Main Authors: | , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Public Library of Science (PLoS)
2010
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| Subjects: | |
| Online Access: | https://doaj.org/article/3d1c06c6ca0b43f78298ded6d8916924 |
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