A Survey of Clustering Techniques

Clustering is the process of partitioning a set of data (or objects) into a set of meaningful sub-classes, called clusters. It helps users to understand the natural grouping or structure in a dataset. A good clustering method will produce high quality clusters in which the intra-class (i.e., intra-clusters) similarity is high and the inter-class similarity is low. The quality of clustering result also depends on both the similarity measure used by the method and its implementation. The quality of a clustering method is also measured by its ability to discover some or the entire hidden pattern.

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE) Topic: Data Management Date Added: May 2013 Format: PDF

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