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Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model perfo
Feature Engineering and Selection
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Authors: Max Kuhn
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The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the mode
Practical Guide To Principal Component Methods in R
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Authors: Alboukadel KASSAMBARA
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Although there are several good books on principal component methods (PCMs) and related topics, we felt that many of them are either too theoretical or too adva
Computational Genomics with R
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Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data
Multiple Factor Analysis by Example Using R
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Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative