Answer / avinash

Even a simple, small-scale, microarray experiment generates
thousands to millions of data points. Clearly, spreadsheets
or plotting programs do not suffice for analysis of such
large volumes of data, and comprehensive analysis requires
systematic methods for selection and organization of data.
This chapter focuses on the concepts and algorithms of
hierarchical clustering and the most commonly employed
methods of partitioning or organizing microarray data, and
freely available software that implements these algorithms.

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