Arthur, D. & Vassilvitskii, S.
(2007):
k-means++: the advantages of careful seeding.
In: SODA '07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms,
Philadelphia, PA, USA.
[BibTeX][Endnote]
@inproceedings{1283494,
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}
}
%0 = inproceedings
%A = Arthur, David and Vassilvitskii, Sergei
%B = SODA '07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
%C = Philadelphia, PA, USA
%D = 2007
%I = Society for Industrial and Applied Mathematics
%T = k-means++: the advantages of careful seeding
Bickel, S. & Scheffer, T.
(2004):
Multi-View Clustering.
In: Proceedings of the IEEE International Conference on Data Mining,
[BibTeX][Endnote]
@inproceedings{Bickel&Scheffer04,
author = {Bickel, S. and Scheffer, T.},
title = {Multi--View Clustering},
booktitle = {Proceedings of the IEEE International Conference on Data Mining},
year = {2004},
keywords = {clustering, em, kmeans, multi, view}
}
%0 = inproceedings
%A = Bickel, S. and Scheffer, T.
%B = Proceedings of the IEEE International Conference on Data Mining
%D = 2004
%T = Multi--View Clustering
Savaresi, S. M. & Boley, D.
(2004):
A comparative analysis on the bisecting K-means and the PDDP clustering algorithms..
In: Intell. Data Anal.,
Ausgabe/Number: 4,
Vol. 8,
Erscheinungsjahr/Year: 2004.
Seiten/Pages: 345-362.
[Volltext] [BibTeX]
[Endnote]
@article{journals/ida/SavaresiB04,
author = {Savaresi, Sergio M. and Boley, Daniel},
title = {A comparative analysis on the bisecting K-means and the PDDP clustering algorithms.},
journal = {Intell. Data Anal.},
year = {2004},
volume = {8},
number = {4},
pages = {345-362},
url = {http://www-users.cs.umn.edu/~boley/publications/papers/savaresi04.pdf},
keywords = {clustering, kmeans, bisec, pddp}
}
%0 = article
%A = Savaresi, Sergio M. and Boley, Daniel
%D = 2004
%T = A comparative analysis on the bisecting K-means and the PDDP clustering algorithms.
%U = http://www-users.cs.umn.edu/~boley/publications/papers/savaresi04.pdf
Hotho, A.; Staab, S. & Stumme, G.
(2003):
Wordnet improves text document clustering.
In: Proc. SIGIR Semantic Web Workshop,
Toronto.
[Volltext]
[BibTeX][Endnote]
@inproceedings{hotho03wordnet,
author = {Hotho, A and Staab, S. and Stumme, G.},
title = {Wordnet improves text document clustering},
booktitle = {Proc. SIGIR Semantic Web Workshop},
address = {Toronto},
year = {2003},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf},
keywords = {2003, clustering, data, discovery, document, information, ir, kdd, kmeans, knowledge, mining, myown, retrieval, text, wordnet}
}
%0 = inproceedings
%A = Hotho, A and Staab, S. and Stumme, G.
%B = Proc. SIGIR Semantic Web Workshop
%C = Toronto
%D = 2003
%T = Wordnet improves text document clustering
%U = http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf
Zhao, Y. & Karypis, G.
(2002):
Evaluation of hierarchical clustering algorithms for document datasets.
In: CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management,
New York, NY, USA.
[BibTeX][Endnote]
@inproceedings{584877,
author = {Zhao, Ying and Karypis, George},
title = {Evaluation of hierarchical clustering algorithms for document datasets},
booktitle = {CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management},
publisher = {ACM Press},
address = {New York, NY, USA},
year = {2002},
pages = {515--524},
doi = {http://doi.acm.org/10.1145/584792.584877},
isbn = {1-58113-492-4},
keywords = {clustering, kmeans, bisec, text, hac}
}
%0 = inproceedings
%A = Zhao, Ying and Karypis, George
%B = CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management
%C = New York, NY, USA
%D = 2002
%I = ACM Press
%T = Evaluation of hierarchical clustering algorithms for document datasets
Hotho, A.; Maedche, A. & Staab, S.
(2001):
Text Clustering Based on Good Aggregations.
In: ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining,
Washington, DC, USA.
[Volltext]
[BibTeX][Endnote]
@inproceedings{658040,
author = {Hotho, Andreas and Maedche, Alexander and Staab, Steffen},
title = {Text Clustering Based on Good Aggregations},
booktitle = {ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
year = {2001},
pages = {607--608},
url = {http://portal.acm.org/citation.cfm?id=658040},
isbn = {0-7695-1119-8},
keywords = {2001, clustering, gruppenbildung, kmeans, myown, ontology, text, tm}
}
%0 = inproceedings
%A = Hotho, Andreas and Maedche, Alexander and Staab, Steffen
%B = ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining
%C = Washington, DC, USA
%D = 2001
%I = IEEE Computer Society
%T = Text Clustering Based on Good Aggregations
%U = http://portal.acm.org/citation.cfm?id=658040
Wagstaff, K.; Cardie, C.; Rogers, S. & Schrödl, S.
(2001):
Constrained K-means Clustering with Background Knowledge..
In: ICML,
[Volltext]
[BibTeX][Endnote]
@inproceedings{conf/icml/WagstaffCRS01,
author = {Wagstaff, Kiri and Cardie, Claire and Rogers, Seth and Schrödl, Stefan},
title = {Constrained K-means Clustering with Background Knowledge.},
booktitle = {ICML},
year = {2001},
pages = {577-584},
url = {http://www.litech.org/~wkiri/Papers/wagstaff-kmeans-01.pdf},
keywords = {clustering, constraints, kmeans}
}
%0 = inproceedings
%A = Wagstaff, Kiri and Cardie, Claire and Rogers, Seth and Schrödl, Stefan
%B = ICML
%D = 2001
%T = Constrained K-means Clustering with Background Knowledge.
%U = http://www.litech.org/~wkiri/Papers/wagstaff-kmeans-01.pdf
Kirsten, M. & Wrobel, S.
(2000):
Extending K-Means Clustering to First-Order Representations.
In: Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings,
[BibTeX][Endnote]
@inproceedings{kirsten2000relkmeans,
author = {Kirsten, Mathias and Wrobel, Stefan},
title = {Extending K-Means Clustering to First-Order Representations},
editor = {Cussens, James and Frisch, Alan M.},
booktitle = {Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
year = {2000},
volume = {1866},
pages = {112-129},
isbn = {3-540-67795-X},
keywords = {clustering, kmeans, relation}
}
%0 = inproceedings
%A = Kirsten, Mathias and Wrobel, Stefan
%B = Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings
%D = 2000
%I = Springer
%T = Extending K-Means Clustering to First-Order Representations
Pelleg, D. & Moore, A.
(2000):
$X$-means: Extending $K$-means with Efficient Estimation of the Number of Clusters.
In: Proc. 17th International Conf. on Machine Learning,
[Volltext]
[BibTeX][Endnote]
@inproceedings{pelleg00xmeans,
author = {Pelleg, Dan and Moore, Andrew},
title = {$X$-means: Extending $K$-means with Efficient Estimation of the Number of Clusters},
booktitle = {Proc. 17th International Conf. on Machine Learning},
publisher = {Morgan Kaufmann, San Francisco, CA},
year = {2000},
pages = {727--734},
url = {citeseer.nj.nec.com/article/pelleg00xmeans.html},
keywords = {clustering, kmeans}
}
%0 = inproceedings
%A = Pelleg, Dan and Moore, Andrew
%B = Proc. 17th International Conf. on Machine Learning
%D = 2000
%I = Morgan Kaufmann, San Francisco, CA
%T = $X$-means: Extending $K$-means with Efficient Estimation of the Number of Clusters
%U = citeseer.nj.nec.com/article/pelleg00xmeans.html
Steinbach, M.; Karypis, G. & Kumar, V.
(2000):
A comparison of document clustering techniques.
In: KDD Workshop on Text Mining,
[Volltext]
[BibTeX][Endnote]
@inproceedings{steinbach00comparison,
author = {Steinbach, M. and Karypis, G. and Kumar, V.},
title = {A comparison of document clustering techniques},
booktitle = {KDD Workshop on Text Mining},
year = {2000},
url = {http://citeseer.ist.psu.edu/steinbach00comparison.html},
keywords = {kmeans, clustering, bisec, text, *****, document, hac}
}
%0 = inproceedings
%A = Steinbach, M. and Karypis, G. and Kumar, V.
%B = KDD Workshop on Text Mining
%D = 2000
%T = A comparison of document clustering techniques
%U = http://citeseer.ist.psu.edu/steinbach00comparison.html
Steinbach, M.; Karypis, G. & Kumar, V.
(2000):
A Comparison of Document Clustering Techniques.
In: KDD Workshop on Text Mining,
[BibTeX][Endnote]
@inproceedings{steinbach00,
author = {Steinbach, M. and Karypis, G. and Kumar, V.},
title = {A Comparison of Document Clustering Techniques},
booktitle = {KDD Workshop on Text Mining},
year = {2000},
keywords = {clustering, kmeans, bisec}
}
%0 = inproceedings
%A = Steinbach, M. and Karypis, G. and Kumar, V.
%B = KDD Workshop on Text Mining
%D = 2000
%T = A Comparison of Document Clustering Techniques
Pelleg, D. & Moore, A.
(1999):
Accelerating Exact k -means Algorithms with Geometric Reasoning.
In: Knowledge Discovery and Data Mining,
[Volltext]
[BibTeX][Endnote]
@inproceedings{pelleg99accelerating,
author = {Pelleg, Dan and Moore, Andrew},
title = {Accelerating Exact k -means Algorithms with Geometric Reasoning},
booktitle = {Knowledge Discovery and Data Mining},
year = {1999},
pages = {277-281},
url = {citeseer.nj.nec.com/197730.html},
keywords = {clustering, kmeans}
}
%0 = inproceedings
%A = Pelleg, Dan and Moore, Andrew
%B = Knowledge Discovery and Data Mining
%D = 1999
%T = Accelerating Exact k -means Algorithms with Geometric Reasoning
%U = citeseer.nj.nec.com/197730.html
Bradley, P. S. & Fayyad, U. M.
(1998):
Refining initial points for K-Means clustering.
In: Proc. 15th International Conf. on Machine Learning,
[Volltext]
[BibTeX][Endnote]
@inproceedings{bradley98refining,
author = {Bradley, Paul S. and Fayyad, Usama M.},
title = {Refining initial points for K-Means clustering},
booktitle = {Proc. 15th International Conf. on Machine Learning},
publisher = {Morgan Kaufmann, San Francisco, CA},
year = {1998},
pages = {91--99},
url = {citeseer.nj.nec.com/bradley98refining.html},
keywords = {clustering, kmeans}
}
%0 = inproceedings
%A = Bradley, Paul S. and Fayyad, Usama M.
%B = Proc. 15th International Conf. on Machine Learning
%D = 1998
%I = Morgan Kaufmann, San Francisco, CA
%T = Refining initial points for K-Means clustering
%U = citeseer.nj.nec.com/bradley98refining.html
Hartigan, J. (Hrsg.)
(1975):
Clustering Algorithms.
Erscheinungsjahr/Year: 1975.
Verlag/Publisher: John Wiley and Sons, New York,
[BibTeX]
[Endnote]
@book{hartigan75,
author = {Hartigan, J.},
title = {Clustering Algorithms},
publisher = {John Wiley and Sons, New York},
year = {1975},
keywords = {clustering, kmeans}
}
%0 = book
%A = Hartigan, J.
%D = 1975
%I = John Wiley and Sons, New York
%T = Clustering Algorithms
MacQueen, J. B.
(1967):
Some Methods for Classification and Analysis of MultiVariate Observations.
In: Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability,
[BibTeX][Endnote]
@inproceedings{MacQueen67,
author = {MacQueen, J. B.},
title = {Some Methods for Classification and Analysis of MultiVariate Observations},
editor = {Cam, L. M. Le and Neyman, J.},
booktitle = {Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability},
publisher = {University of California Press},
year = {1967},
volume = {1},
pages = {281-297},
keywords = {kmeans, clustering}
}
%0 = inproceedings
%A = MacQueen, J. B.
%B = Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability
%D = 1967
%I = University of California Press
%T = Some Methods for Classification and Analysis of MultiVariate Observations
Ball, G. & Hall, D.
(1965):
ISODATA: A novel method of data analysis and pattern classification. Menlo Park
[BibTeX]
[Endnote]
@techreport{ballhall65,
author = {Ball, G. and Hall, D.},
title = {ISODATA: A novel method of data analysis and pattern classification},
address = {Menlo Park},
year = {1965},
keywords = {clustering, kmeans}
}
%0 = techreport
%A = Ball, G. and Hall, D.
%C = Menlo Park
%D = 1965
%T = ISODATA: A novel method of data analysis and pattern classification
Forgy, E.
(1965):
Cluster Analysis of Multivariate Data: Efficiency versus Interpretability of Classification.
In: Biometrics,
Ausgabe/Number: 3,
Vol. 21,
Erscheinungsjahr/Year: 1965.
Seiten/Pages: 768-769.
[BibTeX]
[Endnote]
@article{forgy65,
author = {Forgy, E.},
title = {Cluster Analysis of Multivariate Data: Efficiency versus Interpretability of Classification},
journal = {Biometrics},
year = {1965},
volume = {21},
number = {3},
pages = {768-769},
keywords = {clustering, kmeans}
}
%0 = article
%A = Forgy, E.
%D = 1965
%T = Cluster Analysis of Multivariate Data: Efficiency versus Interpretability of Classification