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SUBCLU
Results: 18

#	Item
1	Discovering Strong Skyline Points in High Dimensional Spaces Zhenjie Zhang Xinyu Guo Add to Reading List Source URL: people.cs.aau.dk Language: English - Date: 2006-04-01 02:18:52 Algebra Mathematics Linear algebra Operator theory Projective geometry Group theory Functional analysis Linear subspace Vector space Clustering high-dimensional data SUBCLU
2	Shaping City Neighborhoods Leveraging Crowd Sensors Giuseppe Rizzoa,c,b,∗, Rosa Meob , Ruggero G. Pensab , Giacomo Falconeb , Rapha¨el Troncyc a ISMB, Turin, Italy Add to Reading List Source URL: giusepperizzo.github.io Language: English - Date: 2016-08-05 11:54:54 Data mining SUBCLU Cluster analysis DBSCAN Linear subspace Clustering high-dimensional data K-means clustering
3	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Compressive Clustering of High-Dimensional Data Add to Reading List Source URL: www.merl.com Language: English - Date: 2013-06-27 12:37:11 Data mining Data analysis Multivariate statistics K-means clustering Hierarchical clustering DBSCAN SUBCLU Single-linkage clustering Consensus clustering Statistics Cluster analysis Machine learning
4	Clustering Large Datasets in Arbitrary Metric Spaces Venkatesh Ganti Raghu Ramakrishnan Johannes Gehrkey Computer Sciences Department, University of Wisconsin-Madison Allison Powellz Add to Reading List Source URL: www.cs.virginia.edu Language: English - Date: 1999-05-18 14:50:51 Machine learning Geostatistics BIRCH Hierarchical clustering Nearest neighbor search Medoid DBSCAN SUBCLU Conceptual clustering Statistics Cluster analysis Data mining
5	Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains Frank H¨ oppner1 and Mirko B¨ ottcher2 1 Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2007-12-03 03:21:54 Data analysis Geostatistics OPTICS algorithm K-means clustering BIRCH Hierarchical clustering Computer cluster Single-linkage clustering SUBCLU Statistics Data mining Cluster analysis
6	Evaluating Clustering in Subspace Projections of High Dimensional Data • • Emmanuel Muller Stephan Gunnemann Add to Reading List Source URL: www.vldb.org Language: English - Date: 2009-07-27 10:29:02 Data analysis Multivariate statistics Data mining SUBCLU DBSCAN K-means clustering Clustering high-dimensional data Unsupervised learning Correlation clustering Statistics Cluster analysis Machine learning
7	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
8	Network Intrusion Detection using a Secure Ranking of Hidden Outliers Marwan Hassani and Thomas Seidl Data Management and Data Exploration Group RWTH Aachen University, Germany {hassani, seidl}@cs.rwth-aachen.de Add to Reading List Source URL: dme.rwth-aachen.de Language: English - Date: 2015-02-10 13:03:28 Cluster analysis Geostatistics Machine learning Anomaly detection SUBCLU Outlier Intrusion detection system Clustering high-dimensional data Local outlier factor Statistics Data mining Data analysis
9	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
10	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