Abstract
The present chapter provides the basic information about the measures of proximity between two subjects or groups of subjects. It is obvious that these concepts must be clear in order to apply them to any pattern recognition analysis, both supervised and unsupervised.
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Further Reading
Theodoris, S., Koutroumbas, K. (2003) Pattern Recognition. Academic Press, Amsterdam.
Corrigan, M. S. (2007) Pattern Recognition in Biology. Nova Science, Lancaster.
Kaufman, L., Rousseeuw, P. J. (2005) Finding Groups in Data: An Introduction to Cluster Analysis. Wiley-Interscience, New York.
Romesburg, H. C. (2004) Cluster Analysis for Researchers. Lulu Press, North Carolina.
Everitt, N. S., Landau, S., Leese, M. (2001) Cluster Analysis. Hodder Arnold Publications, Oxford.
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Carugo, O. (2010). Proximity Measures for Cluster Analysis. In: Carugo, O., Eisenhaber, F. (eds) Data Mining Techniques for the Life Sciences. Methods in Molecular Biology, vol 609. Humana Press. https://doi.org/10.1007/978-1-60327-241-4_10
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DOI: https://doi.org/10.1007/978-1-60327-241-4_10
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Publisher Name: Humana Press
Print ISBN: 978-1-60327-240-7
Online ISBN: 978-1-60327-241-4
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