Revise Basics of Set Theory
Ch. 1. Sets - Concept Review
Ch.2. Cartesian Product of Sets and Relations - Part 2
Rough Sets Using R
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lalasriza upload
Published on 25 Jun 2014
Presented by Lala Septem Riza for the Orange County R User Group. Organized and recorded by Ray DiGiacomo, Jr. (President, OC-RUG, rayd@liondatasystems.com). RoughSets is an R package that implements algorithms based on Rough Set Theory and Fuzzy Rough Set Theory. It contains some features: missing value completion, discretization, feature selection, instance selection, rule induction, and fuzzy rough nearest neighbor classifiers.
For further information on the package, visit the following URLs:
https://cran.r-project.org/web/packages/RoughSets/index.html
Ch. 1. Sets - Concept Review
Ch.2. Cartesian Product of Sets and Relations - Part 2
Rough Sets Using R
_____________________
_____________________
lalasriza upload
Published on 25 Jun 2014
Presented by Lala Septem Riza for the Orange County R User Group. Organized and recorded by Ray DiGiacomo, Jr. (President, OC-RUG, rayd@liondatasystems.com). RoughSets is an R package that implements algorithms based on Rough Set Theory and Fuzzy Rough Set Theory. It contains some features: missing value completion, discretization, feature selection, instance selection, rule induction, and fuzzy rough nearest neighbor classifiers.
For further information on the package, visit the following URLs:
https://cran.r-project.org/web/packages/RoughSets/index.html
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