K-means - PDFSEARCH.IO - Document Search Engine

K-means
Results: 1132

#	Item
711	Microsoft Word - ijfs11-4-r-12-Manuscript_Hu_China_v3_2_.doc Add to Reading List Source URL: www.lsgi.polyu.edu.hk Language: English - Date: 2012-10-08 11:36:56 Multivariate statistics Geostatistics Fuzzy clustering Traffic flow Dynamic time warping Fuzzy logic Unsupervised learning Consensus clustering K-means clustering Statistics Cluster analysis Machine learning
712	Event Identification in Social Media Hila Becker Mor Naaman Luis Gravano Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2009-06-13 17:07:03 Data mining Natural language processing Machine learning Information retrieval Cluster analysis Hierarchical clustering Document clustering K-means clustering BIRCH Statistics Information science Science
713	International Scholarly Research Network ISRN Artificial Intelligence Volume 2012, Article ID[removed], 8 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-08-14 09:15:53 DBSCAN OPTICS algorithm Fuzzy clustering K-means clustering Complete-linkage clustering Single-linkage clustering BIRCH Hierarchical clustering Genetic algorithm Statistics Cluster analysis Data mining
714	Learning Similarity Metrics for Event Identification in Social Media Hila Becker Mor Naaman Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2009-11-30 22:33:13 Multivariate statistics Natural language processing Cluster analysis Geostatistics Hierarchical clustering K-means clustering BIRCH Document clustering Information retrieval Statistics Data mining Machine learning
715	ASCLU: Alternative Subspace Clustering Stephan Günnemann Ines Färber Emmanuel Müller Add to Reading List Source URL: eecs.oregonstate.edu Language: English - Date: 2010-06-04 02:03:54 Correlation clustering K-means clustering Computer cluster Segmentation Consensus clustering SUBCLU Statistics Cluster analysis Clustering high-dimensional data
716	JMLR: Workshop and Conference Proceedings[removed]–50 Workshop on Applications of Pattern Analysis MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2010-09-30 09:37:27 Computational statistics Learning Data analysis Formal sciences Cluster analysis Geostatistics Data stream mining Concept drift K-means clustering Statistics Machine learning Data mining
717	Model Selection for Semi-Supervised Clustering Mojgan Pourrajabi Davoud Moulavi Ricardo J. G. B. Campello Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2014-01-23 11:19:29 Formal sciences Cluster analysis Data mining Pattern recognition Segmentation K-means clustering Cross-validation Constraint satisfaction Consensus clustering Statistics Machine learning Data analysis
718	Proc. ACM SIGMOD’99 Int. Conf. on Management of Data, Philadelphia PA, [removed]OPTICS: Ordering Points To Identify the Clustering Structure Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander Institute f Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 1999-04-14 09:43:39 OPTICS algorithm DBSCAN K-means clustering K-medoids BIRCH Hierarchical clustering Single-linkage clustering Medoid Reachability Statistics Cluster analysis Data mining
719	Density-based Projected Clustering over High Dimensional Data Streams Add to Reading List Source URL: siam.omnibooksonline.com Language: English - Date: 2012-03-30 09:05:46 Multivariate statistics Data mining Geostatistics BIRCH DBSCAN K-means clustering Correlation clustering Clustering high-dimensional data Consensus clustering Statistics Cluster analysis Data analysis
720	Model Selection for Semi-Supervised Clustering Mojgan Pourrajabi Davoud Moulavi Ricardo J. G. B. Campello Add to Reading List Source URL: openproceedings.org Language: English - Date: 2014-03-10 04:29:39 Formal sciences Cluster analysis Data mining Pattern recognition Segmentation K-means clustering Cross-validation Constraint satisfaction Consensus clustering Statistics Machine learning Data analysis

UPDATE