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author = {Arthur, David and Vassilvitskii, Sergei},
title = {k-means++: the advantages of careful seeding},
booktitle = {SODA '07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms},
publisher = {Society for Industrial and Applied Mathematics},
address = {Philadelphia, PA, USA},
year = {2007},
pages = {1027--1035},
isbn = {978-0-898716-24-5},
keywords = {algorithm, careful, clustering, inex08paper, kmeans, kmeans++, paper, seeding}
}
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title = {DENGRAPH: A Density-based Community Detection Algorithm},
booktitle = {In Proc. of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence,},
year = {2007},
pages = {112-115},
url = {http://wwwiti.cs.uni-magdeburg.de/~tfalkows/publ/2007/WI_FalBarSpi07.pdf},
keywords = {algorithm, based, clustering, community, density, detection}
}
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publisher = {Springer},
year = {2003},
pages = {568--579},
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}
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Inspired by empirical studies of networked systems such as the Internet,
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author = {Newman, M. E. J.},
title = {The structure and function of complex networks},
year = {2003},
url = {http://arxiv.org/abs/cond-mat/0303516},
keywords = {algorithm, clustering, complex_systems, folksonomy, information, kdubiq, network, retrieval, scale_free_networks, small, socialnetwork, summerschool, theory, web, web_graph, world},
abstract = {Inspired by empirical studies of networked systems such as the Internet,
cial networks, and biological networks, researchers have in recent years
veloped a variety of techniques and models to help us understand or predict
e behavior of these systems. Here we review developments in this field,
cluding such concepts as the small-world effect, degree distributions,
ustering, network correlations, random graph models, models of network growth
d preferential attachment, and dynamical processes taking place on networks.}
}
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journal = {Physical Review E},
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journal = {Physical Review E},
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volume = {69},
url = {http://arxiv.org/abs/cond-mat/0309508},
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}
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booktitle = {SIGMOD Conference},
publisher = {ACM},
year = {2002},
pages = {394-405},
url = {http://dblp.uni-trier.de/db/conf/sigmod/sigmod2002.html#WangWYY02},
isbn = {1-58113-497-5},
keywords = {algorithm, clustering, data, fca?, large, pClusters, paper, pattern}
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author = {Robardet, Celine and Feschet, Fabien},
title = {A New Methodology to Compare Clustering Algorithms},
booktitle = {IDEAL '00: Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents},
publisher = {Springer-Verlag},
address = {London, UK},
year = {2000},
pages = {565--570},
isbn = {3-540-41450-9},
keywords = {clustering, comparison, algorithm}
}
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author = {Ester, Martin and Kriegel, Hans-Peter and Sander, Jörg and Xu, Xiaowei},
title = {A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise},
booktitle = {Proc. of 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96)},
year = {1996},
pages = {226-231},
keywords = {algorithm, based, clustering, density}
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author = {MacQueen, J.},
title = {Some Methods for Classification and Analysis of Multivariate Observations},
editor = {Le Cam, L. M. and Neyman, J.},
booktitle = {Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability - Vol. 1},
publisher = {University of California Press, Berkeley, CA, USA},
year = {1967},
pages = {281--297},
url = {http://projecteuclid.org/euclid.bsmsp/1200512992},
keywords = {algorithm, clustering, k-means}
}