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Principal component analysis
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#	Item
641	PDF Document Add to Reading List Source URL: www.mth.kcl.ac.uk Language: English - Date: 2014-10-16 12:30:46 Econometrics Estimation theory Statistical models Nonlinear dimensionality reduction Proportional hazards models Principal component analysis Linear regression Dimensional analysis Normal distribution Statistics Multivariate statistics Regression analysis
642	PDF Document Add to Reading List Source URL: rweb.quant.ku.edu 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
643	PDF Document Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2011-11-15 10:32:58 Microsoft Excel XLSTAT Arrow keys Computer keyboard Principal component analysis Control key Mouse Shift key User interface techniques Statistics Software Humanâ€“computer interaction
644	PDF Document Add to Reading List Source URL: dspace.fsktm.um.edu.my Language: English - Date: 2011-04-29 02:35:40 Market research Multivariate statistics Marketing Data analysis Scientific method Factor analysis Scale Principal component analysis Correlation and dependence Statistics Psychometrics Science
645	IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRobGenoa, Italy, 13-16 October 2014 Learning Intermediate Object Affordances: Towards the Development of a Tool Concept Add to Reading List Source URL: vislab.isr.ist.utl.pt Language: English - Date: 2014-10-18 08:00:22 Computer vision Computational neuroscience Robotics Affordance Motor control ICub Bayesian network Principal component analysis Machine learning Statistics Science Networks
646	PDF Document Add to Reading List Source URL: star-www.st-andrews.ac.uk 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
647	Local Multidimensional Scaling for Nonlinear Dimension Reduction, Graph Drawing, and Proximity Analysis Lisha CHEN and Andreas BUJA In the past decade there has been a resurgence of interest in nonlinear dimension reduct Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2009-03-31 11:10:19 Nonlinear dimensionality reduction Multidimensional scaling Dimension reduction Principal component analysis Force-based algorithms Kernel principal component analysis Configuration Eigenvalues and eigenvectors K9 Statistics Multivariate statistics Isomap
648	Automate a routine analysis, example of Principal Component Analysis, in XLSTAT Automation.zip Dataset for automating a routine analysis Two Excel workbooks with both the data and the results can be downloaded by clickin Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-15 10:53:32 Principal component analysis Biplot XLSTAT Analysis Macro Data analysis Factor analysis Statistics Multivariate statistics Microsoft Excel
649	Running a Multiple Correspondence Analysis (MCA) with XLSTAT demoMCA.xls Multiple Correspondence Analysis Multiple Correspondence Analysis (MCA) is a method that allows studying the association Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 09:35:18 Multiple correspondence analysis XLSTAT Correspondence analysis Principal component analysis Qualitative data Chart Causality Biplot Statistics Multivariate statistics Data analysis
650	Running a Correspondence Analysis (CA) from a contingency table with XLSTAT demoCA.xls Dataset for running a Correspondence Analysis An Excel sheet with both the data and the results can be downloaded by clicking here. Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2011-11-17 10:32:26 Singular value decomposition Principal component analysis Multiple correspondence analysis XLSTAT Microsoft Excel Correspondence analysis Contingency table Pivot table Eigenvalues and eigenvectors Statistics Data analysis Multivariate statistics

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