BibliographyType,ISBN,Identifier,Author,Title,Journal,Volume,Number,Month,Pages,Year,Address,Note,URL,Booktitle,Chapter,Edition,Series,Editor,Publisher,ReportType,Howpublished,Institution,Organizations,School,Annote,Custom1,Custom2,Custom3,Custom4,Custom5
6,"978-0-898716-24-5","1283494","Arthur, David & Vassilvitskii, Sergei","k-means++: the advantages of careful seeding","",,,"","1027--1035",2007,"Philadelphia, PA, USA","","","SODA '07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms","","","","","Society for Industrial and Applied Mathematics","","","","","","","","A very precise implementation of k-means with carefull seeding","algorithm, careful, clustering, inex08paper, kmeans, kmeans++, paper, seeding","",""
6,"","Bickel&Scheffer04","Bickel, S. & Scheffer, T.","Multi--View Clustering","",,,"","",2004,"","","","Proceedings of the IEEE International Conference on Data Mining","","","","","","","","","","","","","","clustering, em, kmeans, multi, view","",""
7,"","journals/ida/SavaresiB04","Savaresi, Sergio M. & Boley, Daniel","A comparative analysis on the bisecting K-means and the PDDP clustering algorithms.","Intell. Data Anal.",8,4,"","345-362",2004,"","","http://www-users.cs.umn.edu/~boley/publications/papers/savaresi04.pdf","","","","","","","","","","","","","","dblp","clustering, kmeans, bisec, pddp","",""
6,"","hotho03wordnet","Hotho, A; Staab, S. & Stumme, G.","Wordnet improves text document clustering","",,,"","",2003,"Toronto","","http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hotho2003wordnet.pdf","Proc. SIGIR Semantic Web Workshop","","","","","","","","","","","","","Publications of Gerd Stumme","2003, clustering, data, discovery, document, information, ir, kdd, kmeans, knowledge, mining, myown, retrieval, text, wordnet","",""
6,"1-58113-492-4","584877","Zhao, Ying & Karypis, George","Evaluation of hierarchical clustering algorithms for document datasets","",,,"","515--524",2002,"New York, NY, USA","","","CIKM '02: Proceedings of the eleventh international conference on Information and knowledge management","","","","","ACM Press","","","","","","","","BibTex Format","clustering, kmeans, bisec, text, hac","",""
6,"0-7695-1119-8","658040","Hotho, Andreas; Maedche, Alexander & Staab, Steffen","Text Clustering Based on Good Aggregations","",,,"","607--608",2001,"Washington, DC, USA","","http://portal.acm.org/citation.cfm?id=658040","ICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining","","","","","IEEE Computer Society","","","","","","","","Text Clustering Based on Good Aggregations","2001, clustering, gruppenbildung, kmeans, myown, ontology, text, tm","",""
6,"","conf/icml/WagstaffCRS01","Wagstaff, Kiri; Cardie, Claire; Rogers, Seth & SchrÃ¶dl, Stefan","Constrained K-means Clustering with Background Knowledge.","",,,"","577-584",2001,"","","http://www.litech.org/~wkiri/Papers/wagstaff-kmeans-01.pdf","ICML","","","","","","","","","","","","","dblp","clustering, constraints, kmeans","",""
6,"3-540-67795-X","kirsten2000relkmeans","Kirsten, Mathias & Wrobel, Stefan","Extending K-Means Clustering to First-Order Representations","",1866,,"","112-129",2000,"","","","Inductive Logic Programming, 10th International Conference, ILP 2000, London, UK, July 24-27, 2000, Proceedings","","","Lecture Notes in Computer Science","Cussens, James & Frisch, Alan M.","Springer","","","","","","","","","clustering, kmeans, relation","",""
6,"","pelleg00xmeans","Pelleg, Dan & Moore, Andrew","$X$-means: Extending $K$-means with Efficient Estimation of the Number of Clusters","",,,"","727--734",2000,"","","citeseer.nj.nec.com/article/pelleg00xmeans.html","Proc. 17th International Conf. on Machine Learning","","","","","Morgan Kaufmann, San Francisco, CA","","","","","","","","","clustering, kmeans","",""
6,"","steinbach00comparison","Steinbach, M.; Karypis, G. & Kumar, V.","A comparison of document clustering techniques","",,,"","",2000,"","","http://citeseer.ist.psu.edu/steinbach00comparison.html","KDD Workshop on Text Mining","","","","","","","","","","","","","A Comparison of Document Clustering Techniques","kmeans, clustering, bisec, text, *****, document, hac","",""
6,"","steinbach00","Steinbach, M.; Karypis, G. & Kumar, V.","A Comparison of Document Clustering Techniques","",,,"","",2000,"","","","KDD Workshop on Text Mining","","","","","","","","","","","","","","clustering, kmeans, bisec","",""
6,"","pelleg99accelerating","Pelleg, Dan & Moore, Andrew","Accelerating Exact k -means Algorithms with Geometric Reasoning","",,,"","277-281",1999,"","","citeseer.nj.nec.com/197730.html","Knowledge Discovery and Data Mining","","","","","","","","","","","","","","clustering, kmeans","",""
6,"","bradley98refining","Bradley, Paul S. & Fayyad, Usama M.","Refining initial points for K-Means clustering","",,,"","91--99",1998,"","","citeseer.nj.nec.com/bradley98refining.html","Proc. 15th International Conf. on Machine Learning","","","","","Morgan Kaufmann, San Francisco, CA","","","","","","","","","clustering, kmeans","",""
1,"","hartigan75","Hartigan, J.","Clustering Algorithms","",,,"","",1975,"","","","","","","","","John Wiley and Sons, New York","","","","","","","","","clustering, kmeans","",""
6,"","MacQueen67","MacQueen, J. B.","Some Methods for Classification and Analysis of MultiVariate Observations","",1,,"","281-297",1967,"","","","Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability","","","","Cam, L. M. Le & Neyman, J.","University of California Press","","","","","","","","","kmeans, clustering","",""
13,"","ballhall65","Ball, G. & Hall, D.","ISODATA: A novel method of data analysis and pattern classification","",,,"","",1965,"Menlo Park","","","","","","","","","","","Stanford Research Institute","","","","","","clustering, kmeans","",""
7,"","forgy65","Forgy, E.","Cluster Analysis of Multivariate Data: Efficiency versus Interpretability of Classification","Biometrics",21,3,"","768-769",1965,"","","","","","","","","","","","","","","","","","clustering, kmeans","",""