doi: 10.1007/978-1-60327-241-4_11.
Clustering criteria and algorithms
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- PMID: 20221920
- DOI: 10.1007/978-1-60327-241-4_11
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Clustering criteria and algorithms
Methods Mol Biol.
2010.
Abstract
Cluster analysis is an unsupervised pattern recognition frequently used in biology, where large amounts of data must often be classified. Hierarchical agglomerative approaches, the most commonly used techniques in biology, are described in this chapter. Particular attention is put on techniques for validating the optimal cluster number and the clustering quality.