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Multivariate analysis
Results: 3446

#	Item
831	Agglomerative Information Bottleneck Noam Slonim Naftali Tishby Institute of Computer Science and Center for Neural Computation Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2003-04-20 20:19:18 Cluster analysis Algorithm Mutual information Kullback–Leibler divergence Hierarchical clustering CURE data clustering algorithm Statistics Multivariate statistics Information bottleneck method
832	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: ftp.osuosl.org 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
833	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.rstudio.com 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
834	Using R for Data Analysis and Graphics Introduction, Code and Commentary J H Maindonald Centre for Mathematics and Its Applications, Australian National University. Add to Reading List Source URL: cran.ms.unimelb.edu.au Language: English - Date: 2008-01-23 03:36:16 Estimation theory R Linear regression Principal component analysis Plot Multivariate adaptive regression splines Generalized additive model for location scale and shape Statistics Regression analysis Econometrics
835	R and Data Mining: Examples and Case Studies 1 Yanchang Zhao Add to Reading List Source URL: cran.salud.gob.sv 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
836	JOURNAL OF PAMI, VOL. ?, NO. ?, JANUARY 20?? 1 Modeling Natural Images Using Gated MRFs Marc’Aurelio Ranzato, Volodymyr Mnih, Joshua M. Susskind, Geoffrey E. Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-01-16 10:45:22 Psychometrics Multivariate statistics Machine learning Generative model Latent variable Principal component analysis Mixture model Normal distribution Multivariate normal distribution Statistics Statistical models Data analysis
837	Statistics with R and S-Plus tutorial presented at the Third Workshop on Experimental Methods in Language Acquisition Research (EMLAR) Hugo Quen´ e Add to Reading List Source URL: cran.uni-muenster.de Language: English - Date: 2006-11-10 11:34:58 Variables Elementary mathematics Multivariate statistics Econometrics SPSS R Object Linear discriminant analysis Function Statistics Mathematics Data types
838	Graph-based Approach for Motion Capture Data Representation and Analysis Jiun-Yu (Joanne) Kao, Antonio Ortega Integrated Media Systems Center, Department of Electrical Engineering University of Southern California Add to Reading List Source URL: imsc.usc.edu Language: English - Date: 2015-03-24 13:09:42 Linear algebra Matrix theory Multivariate statistics Singular value decomposition Eigenvalues and eigenvectors Laplacian matrix Adjacency matrix Matrix Dimension reduction Algebra Mathematics Algebraic graph theory
839	5 LATENT CLASS FACTOR AND CLUSTER MODELS, BI-PLOTS, AND RELATED GRAPHICAL DISPLAYS Jay Magidson* Jeroen K. Vermunt† Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:33 Multivariate statistics Categorical data Regression analysis Latent class model Latent variable Factor analysis Data analysis Local independence Confirmatory factor analysis Statistics Psychometrics Statistical models
840	Deep Learning Identity-Preserving Face Space Zhenyao Zhu1,∗ Ping Luo1,3,∗ Xiaogang Wang2 Xiaoou Tang1,3,† 1 Add to Reading List Source URL: www.ee.cuhk.edu.hk Language: English - Date: 2013-10-15 08:53:10 Image processing Statistical classification Linear discriminant analysis Pose Principal component analysis Illumination Pattern recognition Statistics Multivariate statistics Computer vision

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