hello i am fredy where I can find some paper about the two step cluster with algorithm birch, cf, cf-tree, aic, bic I found some article on the internet but are not very detailed would like to know how the algorithm... in my country there is no literature on this.. thanks please if you have any paper sent to me 20081143@lamolina.edu.pe |
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The algos are on the IBM site! Happy hunting ;-)
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The algorithms are included in the Statistics
product help at Help > Algorithms.
They are also available online through the information center (http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/index.jsp -- bookmark this URL), at Help > Algorithms in the table of contents in the left pane. NOTE: the information center has the documentation for all options in v20, so you may see help for features that you don't have installed on your system. If you prefer PDFs of algorithms, again go to the information center and look for the link to "Installation instructions and manuals" under Getting Started in the right pane. If you're a Modeler user, that product now has an information center (http://pic.dhe.ibm.com/infocenter/spssmodl/v15r0m0/index.jsp) for v15. The algorithms are not part of the Modeler help system, and are only available as a PDF. Cheers, Alex |
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In reply to this post by David Marso
ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/en/client/Manuals/IBM_SPSS_Statistics_Algorithms.pdf
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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One of two eferences cited in the Twostep algo:
Zhang, T., R. Ramakrishnon, and M. Livny. 1996. BIRCH: An efficient data clustering method for very large databases. In: Proceedings of the ACM SIGMOD Conference on Management of Data, Montreal, Canada: ACM, 103–114. http://www.cs.sfu.ca/CourseCentral/459/han/papers/zhang96.pdf
Please reply to the list and not to my personal email.
Those desiring my consulting or training services please feel free to email me. --- "Nolite dare sanctum canibus neque mittatis margaritas vestras ante porcos ne forte conculcent eas pedibus suis." Cum es damnatorum possederunt porcos iens ut salire off sanguinum cliff in abyssum?" |
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