%0 Book Section %1 Berkhin2006 %A Berkhin, P. %D 2006 %J Grouping Multidimensional Data %K clustering context d22 desktop survey %P 25--71 %R http://dx.doi.org/10.1007/3-540-28349-8\_2 %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 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.

@incollection{Berkhin2006, abstract = {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.}, added-at = {2009-03-12T15:42:50.000+0100}, author = {Berkhin, P.}, biburl = {https://www.bibsonomy.org/bibtex/2cf6693aa2f197b43552a449e28e2b2a0/lillejul}, citeulike-article-id = {2141507}, doi = {http://dx.doi.org/10.1007/3-540-28349-8\_2}, interhash = {fc69b0651d1395d91e6cdcbcf80bcd7b}, intrahash = {cf6693aa2f197b43552a449e28e2b2a0}, journal = {Grouping Multidimensional Data}, keywords = {clustering context d22 desktop survey}, pages = {25--71}, posted-at = {2007-12-18 16:20:16}, priority = {2}, timestamp = {2009-03-12T15:42:51.000+0100}, title = {A Survey of Clustering Data Mining Techniques}, url = {http://dx.doi.org/10.1007/3-540-28349-8\_2}, year = 2006 }