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Geostatistics
Results: 1612

#	Item
281	Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering Alexander Hinneburg Daniel A. Keim Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:14:41 Multivariate statistics Data mining Geostatistics Clustering high-dimensional data Hierarchical clustering BIRCH K-means clustering DBSCAN K-medoids Statistics Cluster analysis Data analysis
282	CAN ADMINISTRATIVE DATA BE USED TO CREATE A GEODEMOGRAPHIC CLASSIFICATION? Mildred Oiza Ajebon 1 and Paul Norman 2 1 Department of Geography, University of Durham, Durham, DH1 3LE, UK Email: Tel: Add to Reading List Source URL: leeds.gisruk.org Language: English - Date: 2015-04-19 18:21:14 Geography Multivariate statistics Geodemography Human geography United States urban area Cluster analysis Spatial analysis Rural area SPSS Statistics Demography Geostatistics
283	Clustering with Local and Global Consistency Markus Breitenbach Department of Computer Science University of Colorado, Boulder Add to Reading List Source URL: www.cs.colorado.edu Language: English - Date: 2004-06-24 11:16:42 Multivariate statistics Cluster analysis Geostatistics Machine learning Outlier K-means clustering CURE data clustering algorithm Consensus clustering Statistics Data analysis Data mining
284	An Impossibility Theorem for Clustering Jon Kleinberg Department of Computer Science Cornell University Ithaca NY 14853 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2002-12-30 12:12:20 Data mining Geostatistics Single-linkage clustering Hierarchical clustering K-means clustering Consensus clustering Complete-linkage clustering Statistics Cluster analysis Data analysis
285	Edward Isaaks, Ph.D. Professional Summary Dr. Isaaks has more than 30 years of experience in technical evaluations of mine properties, exploration property evaluations, research, software development, and the design and Add to Reading List Source URL: www.isaaks.com Language: English - Date: 2015-01-22 00:03:44 Geostatistics Interpolation Kriging Multivariate interpolation Batu Hijau mine Codelco Chuquicamata Boddington Gold Mine Yanacocha Mining Newmont Mining Corporation Economic geology
286	Sparse Learning based Linear Coherent Bi-clustering Yi Shi1⋆ , Xiaoping Liao2 , Xinhua Zhang1 , Guohui Lin1 , and Dale Schuurmans1 1 Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-19 11:52:50 Data mining Geostatistics Biclustering Statistics Cluster analysis Bioinformatics
287	Math Geosci DOIs11004ANNOUNCEMENT The Editor’s Best Reviewer Awards 2008–2009 Add to Reading List Source URL: cosmo-mg.mcgill.ca Language: English Geology Mathematical Geosciences Prospectivity mapping Geomathematics Earth science Mineral exploration Knowledge Science Economic geology Geostatistics
288	University of Alberta B IO - RELATION D ISCOVERY AND S PARSE L EARNING by Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-09-19 11:52:43 Cluster analysis Multivariate statistics Biclustering Bioinformatics Algorithm Kernel methods Synthetic data Feature selection Statistics Machine learning Geostatistics
289	Drilling Success As A Result of Probabilistic Lithology and Fluid Prediction A Case Study in the Carnarvon Basin, WA M.G. Lamont, T.A. Thompson \| DownUnder GeoSolutions C. Bevilacqua \| Apache Energy Limited www.dugeo.com Add to Reading List Source URL: www.dugeo.com Language: English - Date: 2014-08-20 05:17:15 Economic geology Geostatistics Science Seismic inversion Petrophysics Hydrocarbon exploration Oil well Water well Petroleum Seismology Geology
290	CCCG 2011, Toronto ON, August 10–12, 2011 Kinetically-aware Conformational Distances in Molecular Dynamics Chen Gu∗ Xiaoye Jiang† Add to Reading List Source URL: 2011.cccg.ca Language: English - Date: 2011-08-06 04:11:16 Data analysis Data mining Geostatistics Distance Consensus clustering Statistics Graph theory Cluster analysis

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