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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Falkowski, T., Barth, A. & Spiliopoulou, M. DENGRAPH: A Density-based Community Detection Algorithm

    [BibTeX]

    		 2007 In Proc. of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence,, pp. 112-115  inproceedings URL 
    BibTeX: 
    @inproceedings{FalBarSpi07,
  author = {Falkowski, Tanja and Barth, Anja and Spiliopoulou, Myra},
  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}
}
    Diestel, R. Graph Theory

    [BibTeX]

    		 2005 , pp. I-XVI, 1-344  book URL 
    BibTeX: 
    @book{diestel2006graphentheorie,
  author = {Diestel, Reinhard},
  title = {Graph Theory},
  publisher = {Springer-Verlag Heidelberg, New York},
  year = {2005},
  pages = {I-XVI, 1-344},
  edition = {3 (electronic edition)},
  url = {http://www.math.ubc.ca/~solymosi/2007/443/GraphTheoryIII.pdf}
}
    Janson, S., Luczak, T. & Rucinski, A. Theory of random graphs

    [BibTeX]

    		 2000   book URL 
    BibTeX: 
    @book{janson2000theory,
  author = {Janson, Svante and Luczak, Tomasz and Rucinski, Andrzej},
  title = {Theory of random graphs},
  publisher = {John Wiley & Sons},
  year = {2000},
  url = {http://www.amazon.com/Random-Graphs-Svante-Janson/dp/0471175412}
}
    Ankerst, M., Breunig, M.M., Kriegel, H.-P. & Sander, J. OPTICS: Ordering Points To Identify the Clustering Structure

    [BibTeX]

    		 1999 Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'99), pp. 49-60  inproceedings  
    BibTeX: 
    @inproceedings{optics99,
  author = {Ankerst, M. and Breunig, M. M. and Kriegel, H.-P. and Sander, J.},
  title = {OPTICS: Ordering Points To Identify the Clustering Structure},
  booktitle = {Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'99)},
  year = {1999},
  pages = {49-60}
}
    Sander, J., Ester, M., Kriegel, H.-P. & Xu, X. Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications

    [Abstract] [BibTeX]

    		 1998 Data Mining and Knowledge Discovery
    Vol. 2(2), pp. 169-194     		 article URL 
    Abstract: The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper, we generalize this algorithm in two important directions. The generalized algorithm—called GDBSCAN—can cluster point objects as well as spatially extended objects according to both, their spatial and their nonspatial attributes. In addition, four applications using 2D points (astronomy), 3D points (biology), 5D points (earth science) and 2D polygons (geography) are presented, demonstrating the applicability of GDBSCAN to real-world problems.
    -
    BibTeX: 
    @article{jrg1998densitybased,
  author = {Sander, Jörg and Ester, Martin and Kriegel, Hans-Peter and Xu, Xiaowei},
  title = {Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications},
  journal = {Data Mining and Knowledge Discovery},
  year = {1998},
  volume = {2},
  number = {2},
  pages = {169--194},
  url = {http://dx.doi.org/10.1023/A:1009745219419}
}
    Ester, M., Kriegel, H.P., Sander, J. & Xu, X. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

    [BibTeX]

    		 1996 Proc. 2 nd Int. Conf. on Knowledge Discovery and Data Mining(KDD ' 96), pp. 226-231  inproceedings  
    BibTeX: 
    @inproceedings{ester1996,
  author = {Ester, M. and Kriegel, H. P. and Sander, J. and Xu, X.},
  title = {A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise},
  booktitle = {Proc. 2 nd Int. Conf. on Knowledge Discovery and Data Mining(KDD ' 96)},
  year = {1996},
  pages = {226-231}
}
    Ester, M., Kriegel, H.-P., Sander, Jö. & Xu, X. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

    [BibTeX]

    		 1996 Proc. of 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96), pp. 226-231  inproceedings  
    BibTeX: 
    @inproceedings{Ester1996,
  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}
}
    Ester, M., Kriegel, H.-P., Sander, J. & Xu, X. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

    [BibTeX]

    		 1996 Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), pp. 226-231  inproceedings  
    BibTeX: 
    @inproceedings{esterdbscan98,
  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 = {Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96)},
  publisher = {AAAI Press},
  year = {1996},
  pages = {226-231}
}

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