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Data cluster
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#	Item
471	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
472	Competency Index for RDF & Linked Data (w/ Learning Objects coded by relative quantity) KEY: Green = Many to Moderate; Blue = Moderate to Few; Red = Few to None  Topic Cluster: RDF & Linked Data fundamentals Add to Reading List Source URL: wiki.dublincore.org Language: English - Date: 2015-04-03 14:14:42 World Wide Web Consortium Web standards RDF Schema Simple Knowledge Organization System Linked data Triplestore Jena Query language Resource Semantic Web RDF Computing
473	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: ftp.ussg.iu.edu Language: English - Date: 2013-01-05 06:05:58 Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
474	R Reference Card for Data Mining by Yanchang Zhao, , January 3, 2013 The latest version is available at http://www.RDataMining.com. Click the link also for document R and Data Mining: Examples and Add to Reading List Source URL: cran.cardse.net Language: English Data analysis Consensus clustering K-means clustering Clustering high-dimensional data Oracle Data Mining DBSCAN Hierarchical clustering Data stream clustering Fuzzy clustering Statistics Cluster analysis Multivariate statistics
475	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.stat.nus.edu.sg Language: English Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
476	Applied Statistics for Bioinformatics using R Wim P. Krijnen November 10, 2009 ii Add to Reading List Source URL: cran.csie.ntu.edu.tw Language: English - Date: 2009-11-17 15:29:30 Machine learning Bioinformatics Data analysis Box plot Cluster analysis Plot Bioconductor Statistical classification Q-Q plot Statistics Science Information
477	Integrated Clustering and Motif Detection For Genome−Wide Sequence and Expression Data Daniel N. Hill William S. Hlavacek Add to Reading List Source URL: icsb-2001.org Language: English - Date: 2001-12-04 14:14:40 DNA Genetics Microarrays Regulation of gene expression Gene Transcription factor Cluster analysis Cis-regulatory module Ridge Biology Gene expression Molecular biology
478	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.fyxm.net Language: English - Date: 2013-04-26 09:13:28 Cluster analysis Multivariate statistics K-means clustering Outlier Random forest Anomaly detection Medoid K-medoids Principal component analysis Statistics Data analysis Data mining
479	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
480	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

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