%0 Journal Article %1 p.2006survey %A Berkhin, P. %D 2006 %J Grouping Multidimensional Data %K 2009 clustering co-clustering datamining seminar survey %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 data simplification. 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.

@article{p.2006survey, 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. 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 = {2009-12-14T01:00:10.000+0100}, author = {Berkhin, P.}, biburl = {https://www.bibsonomy.org/bibtex/2748cbddfea81f1e77927cb72532c5875/r.b.}, description = {A Survey of Clustering Data Mining Techniques}, interhash = {fc69b0651d1395d91e6cdcbcf80bcd7b}, intrahash = {748cbddfea81f1e77927cb72532c5875}, journal = {Grouping Multidimensional Data}, keywords = {2009 clustering co-clustering datamining seminar survey}, pages = {25--71}, timestamp = {2009-12-14T01:08:17.000+0100}, title = {A Survey of Clustering Data Mining Techniques}, url = {http://dx.doi.org/10.1007/3-540-28349-8_2}, year = 2006 }