%0 Book Section %1 Berkhin2006 %A Berkhin, P. %B Grouping Multidimensional Data %D 2006 %E Kogan, Jacob %E Nicholas, Charles %E Teboulle, Marc %I Springer Berlin Heidelberg %J Grouping Multidimensional Data %K survey clustering %P 25--71 %T A Survey of Clustering Data Mining Techniques %U http://dx.doi.org/10.1007/3-540-28349-8\_2 %X Clustering is the division of data into groups of similar objects. In clustering, some details are disregarded in exchange for datasimplification. Clustering can be viewed as a data modeling technique that provides for concise summaries of the data. Clusteringis therefore related to many disciplines and plays an important role in a broad range of applications. The applications ofclustering 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.

@incollection{Berkhin2006, abstract = {Clustering is the division of data into groups of similar objects. In clustering, some details are disregarded in exchange for datasimplification. Clustering can be viewed as a data modeling technique that provides for concise summaries of the data. Clusteringis therefore related to many disciplines and plays an important role in a broad range of applications. The applications ofclustering 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.}, added-at = {2011-01-11T13:33:45.000+0100}, author = {Berkhin, P.}, biburl = {https://www.bibsonomy.org/bibtex/22b4aad7cf36ef360ac91a8fa23959c4e/enitsirhc}, booktitle = {Grouping Multidimensional Data}, description = {A Survey of Clustering Data Mining Techniques}, editor = {Kogan, Jacob and Nicholas, Charles and Teboulle, Marc}, interhash = {fc69b0651d1395d91e6cdcbcf80bcd7b}, intrahash = {2b4aad7cf36ef360ac91a8fa23959c4e}, journal = {Grouping Multidimensional Data}, keywords = {survey clustering}, pages = {25--71}, publisher = {Springer Berlin Heidelberg}, timestamp = {2011-11-24T14:10:01.000+0100}, title = {A Survey of Clustering Data Mining Techniques}, url = {http://dx.doi.org/10.1007/3-540-28349-8\_2}, year = 2006 }