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OPTICS algorithm
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#	Item
61	Privacy Preserving Distributed DBSCAN Clustering∗ Jinfei Liu Jun Luo University of Science and Add to Reading List Source URL: www.edbt.org Language: English - Date: 2012-02-01 19:52:54 OPTICS algorithm DBSCAN Quantum information science Cluster analysis XTR Public-key cryptography Secure multi-party computation Communication complexity Statistics Cryptography Applied mathematics
62	Microsoft PowerPoint - elki.ppt [Kompatibilitätsmodus] Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2008-07-11 09:22:23 Data mining Multivariate statistics K-means clustering OPTICS algorithm DBSCAN Cluster analysis SUBCLU Weka Correlation clustering Statistics Data analysis ELKI
63	Validating cluster structures in Data Mining tasks Elena Sivogolovko Saint-Petersbureg State University[removed]Universitetskii av. 28 Saint-Petersburg, Russia Add to Reading List Source URL: www.edbt.org Language: English - Date: 2012-02-03 03:05:14 Data mining Geostatistics DBSCAN K-means clustering OPTICS algorithm Davies–Bouldin index Data cleansing Segmentation Weka Statistics Data analysis Cluster analysis
64	Proc. 1st International Workshop on Discovering, Summarizing and Using Multiple Clusterings (MultiClust[removed]in conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-02 08:30:12 Data mining Geostatistics Hierarchical clustering Single-linkage clustering Correlation clustering DBSCAN OPTICS algorithm Biclustering Consensus clustering Statistics Cluster analysis Machine learning
65	Visualising User Interaction History to Identify Web Map Usage Patterns Ali Tahir1, Gavin McArdle2, and Michela Bertolotto3 1,3 School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, I Add to Reading List Source URL: www.agile-online.org Language: English - Date: 2011-03-31 11:41:50 Cluster analysis Geostatistics Machine learning OPTICS algorithm Hierarchical clustering K-means clustering DBSCAN Ridge Statistics Data analysis Data mining
66	Density-based Clustering using Graphics Processors Christian Böhm, Robert Noll University of Munich Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2009-12-03 06:47:00 Statistics Graphics hardware Video cards Parallel computing Nvidia CUDA DBSCAN Cluster analysis OPTICS algorithm Computing GPGPU Computer hardware
67	SFB Meeting July 12th-13th 2012 Thursday, July 12th 14:00 20+5 14:25 Add to Reading List Source URL: www.uibk.ac.at Language: English - Date: 2015-01-23 12:23:21 Optics Information theory Quantum computer Quantum cryptography Quantum dot Quantum algorithm Photon Physics Applied mathematics Theoretical computer science
68	Genetic Algorithm for Finding Cluster Hierarchies Christian B¨ohm, Annahita Oswald, Christian Richter, Bianca Wackersreuther, and Peter Wackersreuther Ludwig-Maximilians-University, Department for Informatics Oettingens Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2012-05-21 15:51:57 Data mining Geostatistics Machine learning Genetic algorithm Hierarchical clustering OPTICS algorithm Single-linkage clustering K-means clustering SUBCLU Statistics Cluster analysis Data analysis
69	ITCH: Information-Theoretic Cluster Hierarchies Christian B¨ohm1 , Frank Fiedler1 , Annahita Oswald1 , Claudia Plant2 , Bianca Wackersreuther1 , and Peter Wackersreuther1 1 University of Munich, Munich, Germany {boehm,f Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-08-27 08:33:14 Cluster analysis Data mining Geostatistics Hierarchical clustering Information bottleneck method Segmentation OPTICS algorithm K-means clustering Single-linkage clustering Statistics Multivariate statistics Machine learning
70	In Proc. 20th International Conference on Scientific and Statistical Database Management (SSDBM 2008), Hong Kong, China, 2008, pp[removed]ELKI: A Software System for Evaluation of Subspace Clustering Algorithms Elke Ac Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2008-07-21 10:09:04 Data mining Machine learning ELKI Hans-Peter Kriegel DBSCAN K-means clustering SUBCLU Weka OPTICS algorithm Statistics Cluster analysis Data analysis

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