K-means clustering - PDFSEARCH.IO - Document Search Engine

K-means clustering
Results: 985

#	Item
651	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
652	L@S 2014 Work-in-Progress Format Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-12-14 14:54:14 Machine learning Adjusted mutual information K-means clustering Algorithm Hierarchical clustering Consensus clustering Cluster analysis Statistics Computational statistics Mathematics
653	1 Crowdsourcing Dialect Characterization through Twitter arXiv:1407.7094v1 [physics.soc-ph] 26 Jul 2014 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-07-28 20:41:30 Data analysis Multivariate statistics Languages of the Philippines Cluster analysis Spanish language Spanish dialects and varieties Dialectology Mandarin Chinese K-means clustering Statistics Languages of North America Americas
654	Clustering via Similarity Functions: Theoretical Foundations and Algorithms∗ Maria-Florina Balcan† Avrim Blum‡ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-10-31 19:53:49 Hierarchical clustering K-means clustering Single-linkage clustering K-medians clustering Document clustering Consensus clustering Machine learning Data stream clustering Statistics Cluster analysis Correlation clustering
655	Proceedings XIII GEOINFO, November 25-27, 2012, Campos do Jord˜ ao, Brazil. p[removed]Distributed Vector based Spatial Data Conflation Services Sérgio Freitas, Ana Paula Afonso Department of Computer Science – Univers Add to Reading List Source URL: www.geoinfo.info Language: English - Date: 2012-11-30 12:41:04 Data analysis Parallel computing Data mining Machine learning MapReduce Geographic information system Cluster analysis K-means clustering Conflation Computing Statistics Concurrent computing
656	Label the many with a few: Semi-automatic medical image modality discovery in a large image collection Szil´ard Vajda, Daekeun You, Sameer K. Antani, George R. Thoma Lister Hill National Center for Biomedical Communicat Add to Reading List Source URL: www.lhncbc.nlm.nih.gov Language: English - Date: 2015-01-17 17:51:09 Artificial intelligence Pattern recognition K-means clustering Semi-supervised learning Statistical classification Single-linkage clustering Label Machine learning Computational statistics Statistics
657	A classification of European NUTS3 regions Meri Raggi, Sébastien Mary, Fabien Santini, Sergio Gomez Y Paloma 2013 Add to Reading List Source URL: ftp.jrc.es Language: English - Date: 2013-12-13 08:31:11 Machine learning Multivariate statistics Psychometrics Latent class model Hierarchical clustering Hierarchical linear modeling Sampling K-means clustering Mixture model Statistics Statistical models Cluster analysis
658	QoE-driven Unsupervised Image Categorization for Optimized Web Delivery [Short Paper] Parvez Ahammad, Brian Kennedy, Padmapani Ganti, Hariharan Kolam Instart Logic Inc., 2307 Leghorn Street, Mountain View, CA, USA. Add to Reading List Source URL: instartlogic.com Language: English - Date: 2014-10-29 19:35:49 Segmentation Cluster analysis Peak signal-to-noise ratio Structural similarity K-means clustering Categorization Image processing Statistics Quality of experience
659	A Method for Improving List Building: Cluster Profiling Will Cecere1, Denise Abreu1, Jaki McCarthy1, Thomas Jacob1 1 National Agricultural Statistics Service Research and Development Division, U.S. Department of Agricult Add to Reading List Source URL: nass.usda.gov Language: English - Date: 2011-02-08 14:56:05 Market research Marketing Product management Psychometrics Hierarchical clustering Computer cluster K-means clustering National Agricultural Statistics Service Segmentation Statistics Computing Cluster analysis
660	Scaling the Mobile Millennium System in the Cloud Timothy Hunter, Teodor Moldovan, Matei Zaharia, Samy Merzgui, Justin Ma, Michael J. Franklin, Pieter Abbeel, Alexandre M. Bayen University of California, Berkeley ABSTRA Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-12-31 23:51:30 Parallel computing Neural networks Cloud computing Estimation theory Expectation–maximization algorithm Missing data Algorithm MapReduce K-means clustering Computing Concurrent computing Computer programming

UPDATE