%0 Generic %1 Kogan2006 %A Kogan, Jacob %A Nicholas, Charles K. %A Teboulle, M. %C Berlin; New York %D 2006 %I Springer %K clustering %T Grouping multidimensional data recent advances in clustering %U http://dx.doi.org/10.1007/3-540-28349-8 %X "Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, optimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview." "The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas."--Jacket. %@ 9783540283492 3540283498 354028348X 9783540283485

@electronic{Kogan2006, abstract = {"Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods which are central to modern data analysis, with particular emphasis on linear algebra tools, optimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview." "The level of detail, the breadth of coverage, and the comprehensive bibliography make this book a perfect fit for researchers and graduate students in data mining and in many other important related application areas."--Jacket.}, added-at = {2014-06-25T13:10:37.000+0200}, address = {Berlin; New York}, author = {Kogan, Jacob and Nicholas, Charles K. and Teboulle, M.}, biburl = {https://www.bibsonomy.org/bibtex/24f58fa6e90dc2b21ddd3b101586f14ed/lopusz_kdd}, description = {Grouping Multidimensional Data - Springer}, interhash = {4af9222f18720e784cb77cc1a2cebd81}, intrahash = {4f58fa6e90dc2b21ddd3b101586f14ed}, isbn = {9783540283492 3540283498 354028348X 9783540283485}, keywords = {clustering}, publisher = {Springer}, refid = {262692110}, timestamp = {2014-06-25T13:13:02.000+0200}, title = {Grouping multidimensional data recent advances in clustering}, url = {http://dx.doi.org/10.1007/3-540-28349-8}, year = 2006 }