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Geostatistics
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#	Item
591	Ch.5 Classification and Clustering In machine learning, there are two main types of learning problems, supervised and unsupervised learning. An analogy for the former is a French class where the teacher demonstrates the Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2013-10-12 19:53:02 Data mining Geostatistics Hierarchical clustering Unsupervised learning K-means clustering Consensus clustering Fuzzy clustering Statistics Machine learning Cluster analysis
592	A Subspace Filter Supporting the Discovery of Small Clusters in Very Noisy Datasets Frank Höppner Ostfalia University of Applied Sciences Dept. Computer Science Wolfenbüttel, Germany Add to Reading List Source URL: public.fh-wolfenbuettel.de Language: English - Date: 2014-07-06 17:48:06 Linear algebra Multivariate statistics Data analysis Cluster analysis Data mining Geostatistics DBSCAN K-means clustering OPTICS algorithm Statistics Algebra Mathematics
593	A Segment-based Approach To Clustering Multi-Topic Documents Andrea Tagarelli ∗ George Karypis † Add to Reading List Source URL: www.dtc.umn.edu Language: English - Date: 2012-08-16 12:29:04 Machine learning Cluster analysis Data analysis Geostatistics Document clustering Fuzzy clustering K-means clustering Document classification Determining the number of clusters in a data set Statistics Computational statistics Data mining
594	Discovering Human Interactions in Videos with Limited Data Labeling Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi Simon Fraser University, Burnaby, BC, Canada Mehrsan Javan Roshtkhari SPORTLOG Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2015-02-21 20:55:15 Cluster analysis Data analysis Data mining Geostatistics K-means clustering Unsupervised learning Segmentation Spectral clustering Consensus clustering Statistics Computational statistics Machine learning
595	Comparing Clusterings – an information based distance Marina Meil˘a ∗ Abstract Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-06-08 14:01:05 Multivariate statistics Data mining Geostatistics Fowlkes–Mallows Index Variation of information Rand index Consensus clustering Adjusted mutual information Statistics Machine learning Cluster analysis
596	Hydrol. Earth Syst. Sci., 14, 2527–2544, 2010 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:44:33 Interpolation Geostatistics Generalized extreme value distribution Estimation theory Kriging Linear regression Multivariate interpolation Spatial analysis Cross-validation Statistics Regression analysis Econometrics
597	REGULATIONS FOR THE DEGREE OF MASTER OF STATISTICS (MStat) For students admitted in[removed]and thereafter (See also General Regulations) Any publication based on work approved for a higher degree should contain a refe Add to Reading List Source URL: www4.hku.hk Language: English - Date: 2015-01-29 21:52:00 Psychometrics Geostatistics Statistical inference Structural equation modeling Regression analysis Statistical theory Mathematical finance Data mining Spatial analysis Statistics Econometrics Statistical methods
598	Virtual Network Embedding with Collocation: Benefits and Limitations of Pre-Clustering Carlo Fuerst, Stefan Schmid, Anja Feldmann Telekom Innovation Laboratories (T-Labs) & TU Berlin, Germany {carlo,stefan,anja}@net.t-la Add to Reading List Source URL: www.net.t-labs.tu-berlin.de Language: English - Date: 2013-08-27 15:31:37 Cluster analysis Data analysis Data mining Geostatistics Hierarchical clustering Computer cluster IBM VNET Statistics Computing Parallel computing
599	Open Research Online The Open University’s repository of research publications and other research outputs Identifying diachronic topic-based research communities by clustering shared research trajectories Conference It Add to Reading List Source URL: oro.open.ac.uk Language: English - Date: 2015-01-03 00:55:28 Cluster analysis Data analysis Geostatistics Machine learning Topic model Semantic Web K-means clustering Fuzzy clustering Human–computer interaction Statistics Data mining Multivariate statistics
600	Hydrol. Earth Syst. Sci., 18, 2907–2923, 2014 www.hydrol-earth-syst-sci.netdoi:hess © Author(sCC Attribution 3.0 License. Challenges in conditioning a stochastic geological Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 03:56:20 Geostatistics Statistical randomness Economic geology Stochastic Spatial analysis Well logging Proxy Kriging Statistics Science Information

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