2007

k-means++: the advantages of careful seeding.
In: SODA '07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, Seiten 1027-1035. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2007.
David Arthur und Sergei Vassilvitskii.
[BibTeX] 

2004

Multi-View Clustering.
In: Proceedings of the IEEE International Conference on Data Mining. 2004.
S. Bickel und T. Scheffer.
[BibTeX] 
A comparative analysis on the bisecting K-means and the PDDP clustering algorithms..
Intell. Data Anal., 8(4):345-362, 2004.
Sergio M. Savaresi und Daniel Boley.
[doi]  [BibTeX] 

2003

Wordnet improves text document clustering.
In: Proc. SIGIR Semantic Web Workshop. Toronto, 2003.
A Hotho, S. Staab und G. Stumme.
[doi]  [BibTeX] 

2002

Evaluation of hierarchical clustering algorithms for document datasets.
In: CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management, Seiten 515-524. ACM Press, New York, NY, USA, 2002.
Ying Zhao und George Karypis.
[BibTeX] 

2001

Text Clustering Based on Good Aggregations.
In: ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining, Seiten 607-608. IEEE Computer Society, Washington, DC, USA, 2001.
Andreas Hotho, Alexander Maedche und Steffen Staab.
[doi]  [BibTeX] 
Constrained K-means Clustering with Background Knowledge..
In: ICML, Seiten 577-584. 2001.
Kiri Wagstaff, Claire Cardie, Seth Rogers und Stefan Schrödl.
[doi]  [BibTeX] 

2000

Extending K-Means Clustering to First-Order Representations.
In: J. Cussens und A. M. Frisch (Herausgeber): Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings, Band 1866, Reihe Lecture Notes in Computer Science, Seiten 112-129. Springer, 2000.
Mathias Kirsten und Stefan Wrobel.
[BibTeX] 
$X$-means: Extending $K$-means with Efficient Estimation of the Number of Clusters.
In: Proc. 17th International Conf. on Machine Learning, Seiten 727-734. Morgan Kaufmann, San Francisco, CA, 2000.
Dan Pelleg und Andrew Moore.
[doi]  [BibTeX] 
A comparison of document clustering techniques.
In: KDD Workshop on Text Mining. 2000.
M. Steinbach, G. Karypis und V. Kumar.
[doi]  [BibTeX] 
A Comparison of Document Clustering Techniques.
In: KDD Workshop on Text Mining. 2000.
M. Steinbach, G. Karypis und V. Kumar.
[BibTeX] 

1999

Accelerating Exact k -means Algorithms with Geometric Reasoning.
In: Knowledge Discovery and Data Mining, Seiten 277-281. 1999.
Dan Pelleg und Andrew Moore.
[doi]  [BibTeX] 

1998

Refining initial points for K-Means clustering.
In: Proc. 15th International Conf. on Machine Learning, Seiten 91-99. Morgan Kaufmann, San Francisco, CA, 1998.
Paul S. Bradley und Usama M. Fayyad.
[doi]  [BibTeX] 

1975

Clustering Algorithms.
1975.
J. Hartigan.
[BibTeX] 

1967

Some Methods for Classification and Analysis of MultiVariate Observations.
In: L. M. L. Cam und J. Neyman (Herausgeber): Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, Band 1, Seiten 281-297. University of California Press, 1967.
J. B. MacQueen.
[BibTeX] 

1965

ISODATA: A novel method of data analysis and pattern classification.
Stanford Research Institute, 1965.
G. Ball und D. Hall.
[BibTeX] 
Cluster Analysis of Multivariate Data: Efficiency versus Interpretability of Classification.
Biometrics, 21(3):768-769, 1965.
E. Forgy.
[BibTeX]