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Kernel principal component analysis
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41	Prospectus of “Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis” Juan M. Banda 0 Add to Reading List Source URL: www.cs.montana.edu Language: English - Date: 2014-10-27 15:50:46 Image search Artificial intelligence applications Content-based image retrieval Image retrieval Nonlinear dimensionality reduction Kernel principal component analysis Principal component analysis Statistics Multivariate statistics Artificial intelligence
42	12825-Ballings_VandenPoel Add to Reading List Source URL: www.feb.ugent.be Language: English - Date: 2013-01-08 02:30:54 Statistical classification Kernel trick Kernel Random forest Support vector machine Linux kernel Kernel principal component analysis Kernel adaptive filter Machine learning Statistics Mathematics
43	A Tutorial on Principal Component Analysis Jonathon Shlens∗ Google Research Mountain View, CA 94043 Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-04-06 20:15:01 Matrices Matrix theory Singular value decomposition Multivariate statistics Principal component analysis Eigenvalues and eigenvectors Covariance matrix Kernel principal component analysis Diagonalizable matrix Algebra Linear algebra Mathematics
44	HTB.01.04_Me:38 AM Add to Reading List Source URL: fasdcenter.samhsa.gov Language: English - Date: 2015-04-17 15:01:54 Multivariate statistics Data analysis Data mining Clustering high-dimensional data K-means clustering Spectral clustering Hierarchical clustering Principal component analysis Kernel principal component analysis Statistics Cluster analysis Machine learning
45	A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data Jinfeng Yi IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598, USA Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:30 Multivariate statistics Data analysis Data mining Clustering high-dimensional data K-means clustering Spectral clustering Hierarchical clustering Principal component analysis Kernel principal component analysis Statistics Cluster analysis Machine learning
46	2012 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 23–26, 2012, SANTANDER, SPAIN QUANTIFYING SPATIOTEMPORAL DYNAMICS OF TWITTER REPLIES TO NEWS FEEDS F Bießmann , J-M Papaioannou , Add to Reading List Source URL: www.user.tu-berlin.de Language: English - Date: 2012-08-15 11:45:13 Real-time web Text messaging Twitter Websites Principal component analysis Kernel principal component analysis Geographic information system RT Time series Statistics Multivariate statistics Social media
47	Microsoft Word - KRBF1.doc Add to Reading List Source URL: www.recveb.ucsb.edu Language: English Radial basis function network Radial basis function Statistical classification Support vector machine Kernel principal component analysis Kernel Fisher discriminant analysis Pattern recognition Kernel methods Positive-definite kernel Statistics Machine learning Neural networks
48	Rainbow plots, bagplots and boxplots for functional data Rob J Hyndman and Han Lin Shang Department of Econometrics and Business Statistics, Monash University, Clayton, Australia June 5, 2009 Add to Reading List Source URL: robjhyndman.com Language: English - Date: 2009-06-05 01:49:54 Box plot Outlier Plot Kernel density estimation Functional data analysis Principal component analysis Normal distribution Mode Bivariate data Statistics Data analysis Functional boxplot
49	s10044[removed]5ca-web[removed] Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 17:48:42 Statistical classification Microarrays Gene expression Support vector machine DNA microarray Kernel methods Principal component analysis Dimension reduction Feature selection Statistics Machine learning Multivariate statistics
50	EOSC 510 Winter session[removed]term 1) 3 credits Course title: Data Analysis in Atmospheric, Earth & Ocean Sciences This is an online graduate course on applying machine learning and statistical methods to environmen Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2014-02-04 15:18:21 Pattern recognition Kernel methods Data mining Principal component analysis Neural network Statistical classification Decision tree learning Regularization Regression analysis Statistics Machine learning Science

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