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K-means clustering
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751	Package ‘clusterfly’ July 2, 2014 Type Package Title Explore clustering interactively using R and GGobi Version 0.4 Author Hadley Wickham Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:28:58 Data mining Geostatistics Machine learning GGobi K-means clustering Hierarchical clustering Parallel coordinates Statistics Cluster analysis Data analysis
752	1 Identifying Clusters with Attribute Homogeneity and Similar Connectivity in Information Networks Andreas Papadopoulos, George Pallis, Marios D. Dikaiakos Department of Computer Science, University of Cyprus Add to Reading List Source URL: www.cs.ucy.ac.cy Language: English - Date: 2014-01-29 03:23:55 Cluster analysis Data analysis Data mining Geostatistics Graph Fuzzy clustering Neighbourhood K-means clustering Consensus clustering Statistics Graph theory Mathematics
753	604 IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Bio-Driven Cell Region Detection in Human Embryonic Stem Cell Assay Add to Reading List Source URL: www.computer.org Language: English - Date: 2014-06-23 18:16:59 Segmentation Cluster analysis K-means clustering Thresholding Statistics Image processing Computer vision
754	DEVELOPMENT OF A BLUNDER DETECTION APPROACH FOR AUTOMATED POINT MATCHING DURING VECTOR TO IMAGE DATA INTEGRATION Add to Reading List Source URL: cegis.usgs.gov Language: English - Date: 2010-12-23 09:16:20 Affine geometry Abstract algebra Linear algebra Vectors Geostatistics Cluster analysis K-means clustering Vector space Affine transformation Algebra Mathematics Geometry
755	UNIVERSITY CA R TO GROUP Syllabus Draft Add to Reading List Source URL: cartography.oregonstate.edu Language: English - Date: 2013-07-31 10:24:51 Geographic information system Geospatial analysis Geovisualization Geographic information science K-means clustering NetBeans Software Cartography Computing
756	IPN Progress Report[removed]November 15, 2005 Semi-Supervised Data Summarization: Using Spectral Libraries to Improve Add to Reading List Source URL: ml.jpl.nasa.gov Language: English - Date: 2005-12-02 17:26:24 Imaging Cluster analysis Data mining K-means clustering Hyperspectral imaging Spectral clustering Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance Consensus clustering Segmentation Statistics Spectroscopy Remote sensing
757	Use Fewer Instances of the Letter “i”: Toward Writing Style Anonymization Andrew W.E. McDonald, Sadia Afroz, Aylin Caliskan, Ariel Stolerman, and Rachel Greenstadt Drexel University, Philadelphia, PA {awm32,sa499,ac9 Add to Reading List Source URL: www.cs.drexel.edu Language: English - Date: 2012-05-08 12:12:34 Information retrieval Data mining Multivariate statistics Stylometry Cluster analysis K-means clustering Search engine indexing HTML Anonymity Statistics Information science Science
758	A Cluster Analysis Approach to Comparing Atmospheric Radiation Measurement (ARM) Data with Global Climate Model (GCM) Results Forrest M. Hoffman1, Salil Mahajan2, William W. Hargrove3, Richard T. Mills1, and Tony Del Gen Add to Reading List Source URL: www.arm.gov Language: English - Date: 2008-03-20 12:47:25 Community Climate System Model Global climate model Principal component analysis Climate model K-means clustering Cluster analysis Data mining Statistics Data analysis Multivariate statistics
759	Discriminative k-metrics Arthur Szlam Department of Mathematics, UCLA, Los Angeles, CA, USA [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:40 Support vector machine Supervised learning K-nearest neighbor algorithm Pattern recognition Statistical classification K-means clustering Principal component analysis Mahalanobis distance Building Statistics Machine learning K q-flats
760	Automated Hierarchical Mixtures of Probabilistic Principal Component Analyzers Ting Su [removed] Jennifer G. Dy Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:35 Multivariate statistics Estimation theory Cluster analysis K-means clustering Mixture model Expectation–maximization algorithm Hierarchical clustering Bayesian information criterion Principal component analysis Statistics Machine learning Data analysis

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