This report discusses some important applications of clustering, including applications in software clustering, computer security, biology and medicine. Then it presents a literature survey, describing 40 previous clustering methods organized by type - such as methods that are partitioning, hierarchical, grid-based, density-based, model-based, unsupervised and supervised [Han01]. We explain how some of these methods have been applied to various fields. For example, we discuss applications of ACDC to software clustering and we discuss applications of hierarchical clustering to DNA microarray data.

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