Clustering breast cancer data by consensus of different validity indices
Clustering algorithms will, in general, either partition a given data set into a pre-specified number of clusters or will produce a hierarchy of clusters. In this paper we analyse several different clustering techniques and apply them to a particular data set of breast cancer data. When we do not kn...
| Main Authors: | Soria, Daniele, Garibaldi, Jonathan M., Ambrogi, Federico, Lisboa, Paulo J.G., Boracchi, Patrizia, Biganzoli, Elia M. |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
IET Digital Library
2008
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/28148/ |
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