A Survey of Clustering Data Mining Techniques

  • P. Berkhin


Clustering is the division of data into groups of similar objects. In clustering, some details are disregarded in exchange for data simplification. Clustering can be viewed as a data modeling technique that provides for concise summaries of the data. Clustering is therefore related to many disciplines and plays an important role in a broad range of applications. The applications of clustering usually deal with large datasets and data with many attributes. Exploration of such data is a subject of data mining. This survey concentrates on clustering algorithms from a data mining perspective.


Singular Value Decomposition Association Rule Numerical Attribute Categorical Attribute Graph Partitioning 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • P. Berkhin
    • 1
  1. 1.Yahoo!SunnyvaleUSA

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