Data Mining Clustering Methods: A Review

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
Clustering is data mining technique of grouping objects or data into clusters in which objects within the cluster have high similarity, but are very dissimilar to objects in the other clusters. Similarities and dissimilarities are measured on the attribute values which describes the objects. Clustering methods are used to formulate and typecast the data, for data compression and model construction, for detection of outliers, etc. Common approach of all clustering methods is to find clusters center which represent each cluster.

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