Unsupervised data mining: introduction

Coomans, D.;Smyth, C.;Lee, I.;Hancock, T.;Yang, J.

Abstract

This chapter focuses on cluster analysis in the context of unsupervised data mining. Various facets of cluster analysis, including proximities, are discussed in detail. Techniques of determining the natural number of clusters are described. Finally, techniques of assessing cluster accuracy and reproducibility are detailed. Techniques mentioned in this chapter are expanded upon in the following chapters.

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Publication Name

Comprehensive Chemometrics: chemical and biochemical data analysis

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ISBN/ISSN

978-0-444-52701-1

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Publisher

Elsevier

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Publisher Location

Oxford, UK

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DOI

10.1016/B978-044452701-1.00063-6