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Dendrogram
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#	Item
41	Institut für Informatik und Wirtschaftsinformatik Lehrstuhl für Wirtschaftsinformatik V Data Mining – HWS 2014 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-09-29 11:42:28 DBSCAN K-means clustering Dendrogram Consensus clustering Complete-linkage clustering Statistics Cluster analysis Hierarchical clustering
42	Package ‘ggdendro’ September 29, 2014 License GPL-2 \| GPL-3 Title Tools for extracting dendrogram and tree diagram plot data for use with ggplot2 LazyData true LazyLoad true Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-29 09:20:54 Software Data mining Ggplot2 Visualization Dendrogram Diagram R Decision tree learning Statistical classification Statistics Machine learning Computational statistics
43	Feature Clustering for Data Steering in Dynamic Data Driven Application Systems Alec Pawling and Greg Madey Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN, USA, 46556 Add to Reading List Source URL: www.dddas.org Language: English - Date: 2013-02-17 17:13:02 Network analysis Dendrogram Statistics Cluster analysis Hierarchical clustering
44	Ecology, 90(2), 2009, pp. 341–347 Ó 2009 by the Ecological Society of America Functional-diversity indices can be driven by methodological choices and species richness MARK S. POOS,1 STEVEN C. WALKER, Add to Reading List Source URL: www.markpoesch.com Language: English - Date: 2013-06-19 13:24:20 UPGMA Species diversity Alpha diversity Diversity index Species richness Rarefaction Beta diversity Ecology Dendrogram Statistics Measurement of biodiversity Cluster analysis
45	Ecology, 90(2), 2009, pp. 341–347 Ó 2009 by the Ecological Society of America Functional-diversity indices can be driven by methodological choices and species richness MARK S. POOS,1 STEVEN C. WALKER, Add to Reading List Source URL: www.markpoesch.com Language: English - Date: 2013-05-13 13:01:50 UPGMA Species diversity Alpha diversity Diversity index Species richness Rarefaction Beta diversity Ecology Dendrogram Statistics Measurement of biodiversity Cluster analysis
46	LOOKING FOR CULTURAL AND GEOGRAPHICAL FACTORS IN PATTERNS OF RESPONSES TO TIMSS ITEMS Liv Sissel Grønmo, University of Oslo, Norway Marit Kjærnsli, University of Oslo, Norway Svein Lie, University of Oslo, Norway Add to Reading List Source URL: www.iea.nl Language: English - Date: 2011-08-10 09:26:29 Educational research Trends in International Mathematics and Science Study Cluster analysis Mathematics Dendrogram Nordic countries Ethnic group Singapore Programme for International Student Assessment Statistics Education Mathematical sciences
47	The exploration of multi-wavelength astronomical datasets: the case of AGNS in the Chandra Source Catalog and unsupervised clustering. R. D’Abrusco KISS Study Program - Digging Deeper: Algorithms for Computationally li Add to Reading List Source URL: www.kiss.caltech.edu Language: English - Date: 2011-06-10 17:03:34 Hierarchical clustering Network analysis Outlier Dendrogram Space K-means clustering Statistics Cluster analysis Data analysis
48	Advanced Tools Kelley B. Hise April 2011 Overview Add to Reading List Source URL: www.pulsenetinternational.org Language: English - Date: 2013-06-18 21:42:56 Graph drawing Click consonant Tone cluster Music Cluster analysis Dendrogram
49	Performing Comparisons in BioNumerics Erik W. Coleman May 2009 Add to Reading List Source URL: www.pulsenetinternational.org Language: English - Date: 2013-06-18 21:43:01 Bioinformatics Data mining UPGMA Dendrogram Statistics Cluster analysis Computational phylogenetics
50	A METHOD FOR ASSESSING REPRODUCIBILITY OF CLUSTERING PATTERNS OBSERVED IN ANALYSES OF MICROARRAY DATA Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:35 Data analysis Multivariate statistics Gene expression Hierarchical clustering Dendrogram Gene expression profiling Principal component analysis DNA microarray Gene chip analysis Statistics Cluster analysis Microarrays

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