@article{jrg1998densitybased,
  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.
ER  -},
  author = {Sander, Jörg and Ester, Martin and Kriegel, Hans-Peter and Xu, Xiaowei},
  interhash = {3f2615cbf7c60d63f0a1ccc82e0caea1},
  intrahash = {a15f4445f49f37f272b373c69231a590},
  journal = {Data Mining and Knowledge Discovery},
  month = {#jun#},
  number = 2,
  pages = {169--194},
  title = {Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications},
  url = {http://dx.doi.org/10.1023/A:1009745219419},
  volume = 2,
  year = 1998
}

@inproceedings{Ester1996,
  author = {Ester, Martin and Kriegel, Hans-Peter and Sander, J{\"o}rg and Xu, Xiaowei},
  booktitle = {Proc. of 2nd International Conference on Knowledge Discovery and  Data Mining (KDD-96)},
  file = {:KDD96-037.pdf:PDF},
  interhash = {ba33e4d6b4e5b26bd9f543f26b7d250a},
  intrahash = {2f9e50f0a003c4d3067cab2b6fa47fe0},
  pages = {226-231},
  title = {A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise},
  year = 1996
}

@inproceedings{1281280,
  address = {New York, NY, USA},
  author = {Xu, Xiaowei and Yuruk, Nurcan and Feng, Zhidan and Schweiger, Thomas A. J.},
  booktitle = {KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining},
  doi = {http://doi.acm.org/10.1145/1281192.1281280},
  interhash = {cff0749eaf202838fd393faa1f1ea0af},
  intrahash = {8dd63b723996dfa3fdff4fcfb9e3ce2e},
  isbn = {978-1-59593-609-7},
  location = {San Jose, California, USA},
  pages = {824--833},
  publisher = {ACM},
  title = {SCAN: a structural clustering algorithm for networks},
  url = {http://portal.acm.org/citation.cfm?doid=1281192.1281280},
  year = 2007
}

@inproceedings{653621,
  address = {Washington, DC, USA},
  author = {Xu, Xiaowei and Ester, Martin and Kriegel, Hans-Peter and Sander, J\"{o}rg},
  booktitle = {ICDE '98: Proceedings of the Fourteenth International Conference on Data Engineering},
  interhash = {1c5ad09e44adbded72f2af07f4cdace0},
  intrahash = {736bd4fead9bd26478e2fb106f5bbf45},
  isbn = {0-8186-8289-2},
  pages = {324--331},
  publisher = {IEEE Computer Society},
  title = {A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases},
  url = {http://portal.acm.org/citation.cfm?coll=GUIDE&dl=GUIDE&id=653621},
  year = 1998
}

@inproceedings{775110,
  address = {New York, NY, USA},
  author = {Beil, Florian and Ester, Martin and Xu, Xiaowei},
  booktitle = {KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining},
  doi = {http://doi.acm.org/10.1145/775047.775110},
  interhash = {afbbcb8e9e77abf0eca425048f104a51},
  intrahash = {1e335abdf44d287a375a6383683d1b98},
  isbn = {1-58113-567-X},
  location = {Edmonton, Alberta, Canada},
  pages = {436--442},
  publisher = {ACM Press},
  title = {Frequent term-based text clustering},
  year = 2002
}

@inproceedings{esterdbscan98,
  author = {Ester, Martin and Kriegel, Hans-Peter and Sander, Jörg and Xu, Xiaowei},
  booktitle = {Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96)},
  editor = {Simoudis, Evangelos and Han, Jiawei and Fayyad, Usama M.},
  interhash = {ba33e4d6b4e5b26bd9f543f26b7d250a},
  intrahash = {af881d23fe77ea9c365abe72f4c85d84},
  pages = {226-231},
  publisher = {AAAI Press},
  title = {A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise},
  year = 1996
}

@inproceedings{775110,
  author = {Beil, Florian and Ester, Martin and Xu, Xiaowei},
  booktitle = {Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining},
  doi = {http://doi.acm.org/10.1145/775047.775110},
  interhash = {afbbcb8e9e77abf0eca425048f104a51},
  intrahash = {e8a9409756b28009f0ca0fb4d8240d57},
  isbn = {1-58113-567-X},
  location = {Edmonton, Alberta, Canada},
  pages = {436--442},
  publisher = {ACM Press},
  title = {Frequent term-based text clustering},
  year = 2002
}