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@electronic{theory.stanford.edu,
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@electronic{www.cs.uiuc.edu,
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@electronic{socialmedia.typepad.com,
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@electronic{www-rp.lip6.fr,
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@electronic{challenge.spock.com,
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@electronic{www.cs.waikato.ac.nz,
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   title       = {CLUTO - Family of Data Clustering Software Tools | Karypis Lab}, 
   url         = {http://glaros.dtc.umn.edu/gkhome/views/cluto},
   biburl      = {https://puma.uni-kassel.de/url/4c54eae64ee947df3329661b7e520e60/hotho},
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@electronic{tangra.si.umich.edu,
   title       = {CLAIR}, 
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@electronic{pil.phys.uniroma1.it,
   title       = {Vito D P Servedio: software}, 
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@electronic{www.kde.cs.uni-kassel.de,
   title       = {Andreas Hotho, KDE Group, University of Kassel}, 
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@electronic{crd.lbl.gov,
   title       = {Homepage of Chris H.Q. Ding}, 
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@electronic{www.cs.albany.edu,
   title       = {Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results}, 
   url         = {http://www.cs.albany.edu/~davidson/Publications/hierCameraReady.pdf},
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   description = {Agglomerative Hierarchical Clustering with Constraints: Theoretical and Empirical Results 

Ian Davidson1  and S.S. Ravi1 
(1) 	Department of Computer Science, University at Albany - State University of New York, Albany, NY 12222,  },
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@electronic{www.lans.ece.utexas.edu,
   title       = {LANS publications}, 
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@electronic{www.stat.washington.edu,
   title       = {Adrian E. Raftery}, 
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@electronic{vlado.fmf.uni-lj.si,
   title       = {Software Three Dimensional Blockmodeling}, 
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@electronic{cscs.umich.edu,
   title       = {Community Discovery Methods for Complex Networks}, 
   url         = {http://cscs.umich.edu/~crshalizi/notebooks/community-discovery.html},
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@electronic{www.carrot2.org,
   title       = {Carrot2 project}, 
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@electronic{www.stat.washington.edu,
   title       = {Adrian Raftery: Unpublished Technical Reports}, 
   url         = {http://www.stat.washington.edu/raftery/Research/techreports.html},
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   description = {Handcock, M.S., Raftery, A.E. and Tantrum, J. (2005).

Model-Based Clustering for Social Networks.
Working Paper no. 46, Center for Statistics and the Social Sciences,
University of Washington.},
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@electronic{kt.ijs.si,
   title       = {Text-Garden -- Text-Mining Software Tools}, 
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@electronic{www.cs.cas.cz,
   title       = {Cluster list of papers}, 
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@electronic{www.isi.edu,
   title       = {CBC}, 
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@electronic{www.informatics.bangor.ac.uk,
   title       = {dataset}, 
   url         = {http://www.informatics.bangor.ac.uk/~kuncheva/activities/artificial_data.htm},
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@electronic{www.mathematik.uni-marburg.de,
   title       = {Fundamental Clustering Problem Suite | Databionics}, 
   url         = {http://www.mathematik.uni-marburg.de/~databionics/en//?q=data},
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@electronic{www.di.ubi.pt,
   title       = {| Gaël Harry Dias - Department of Computer Science - UBI}, 
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   description = {- Dias, G. & Alves, E. (2005). Language-Independent Informative Topic Segmentation. In Proceedings of the 9th International Symposium on Social Communication. Santiago de Cuba, Cuba, January 24-28. pp. 588-592. ISBN: 9597174057. [pdf]},
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