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Results: 170

#	Item
121	Identifying map regions that are difficult to read Add to Reading List Source URL: generalisation.icaci.org Language: English - Date: 2013-02-05 05:09:40 Science Geographic information system Topological map ISPRS Generalization Map Geography Measurement Cartography Visualization DBSCAN
122	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
123	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
124	In Proc. SIAM Int. Conf. on Data Mining (SDM), Minneapolis, MN, 2007 Robust, Complete, and Eﬃcient Correlation Clustering∗ Elke Achtert, Christian B¨ohm, Hans-Peter Kriegel, Peer Kr¨oger, Arthur Zimek Department I Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2007-06-14 08:04:28 Data analysis Data mining Geostatistics DBSCAN Correlation clustering Principal component analysis K-means clustering Correlation and dependence Clustering high-dimensional data Statistics Multivariate statistics Cluster analysis
125	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
126	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
127	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
128	SkyDist: Data Mining on Skyline Objects Christian B¨ohm1 , Annahita Oswald1 , Claudia Plant2 , Michael Plavinski1 , and Bianca Wackersreuther1 1 University of Munich Technische Universit¨at M¨unchen Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2010-06-29 06:03:13 Data mining Machine learning Geostatistics DBSCAN Hierarchical clustering K-medoids Single-linkage clustering Nearest neighbor search Skyline Statistics Information science Cluster analysis
129	In Proc. 20th Int. Conf. on Scientific and Statistical Database Management (SSDBM), Hong Kong, China, 2008 A General Framework for Increasing the Robustness of PCA-based Correlation Clustering Algorithms Hans-Peter Krie Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2008-07-21 10:08:40 Singular value decomposition Machine learning Cluster analysis Principal component analysis Dimension reduction K-means clustering DBSCAN Eigenvalues and eigenvectors Correlation clustering Statistics Multivariate statistics Data analysis
130	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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