FSelector v0.21
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Selecting Attributes
Functions for selecting attributes from a given dataset. Attribute
subset selection is the process of identifying and removing as much of the
irrelevant and redundant information as possible.
Readme
FSelector: Selecting attributes
This package provides functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.
CRAN page: http://cran.r-project.org/web/packages/FSelector/index.html
Functions in FSelector
| Name | Description | |
| correlation | Correlation filter | |
| chi.squared | Chi-squared filter | |
| as.simple.formula | Converting to formulas | |
| best.first.search | Best-first search | |
| cfs | CFS filter | |
| FSelector-package | Package for selecting attributes | |
| cutoff | Cutoffs | |
| consistency | Consistency-based filter | |
| greedy.search | Greedy search | |
| exhaustive.search | Exhaustive search | |
| entropy.based | Entropy-based filters | |
| random.forest.importance | RandomForest filter | |
| hill.climbing.search | Hill climbing search | |
| oneR | OneR algorithm | |
| relief | RReliefF filter | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2016-06-29 |
| License | GPL-2 |
| LazyLoad | yes |
| NeedsCompilation | no |
| Packaged | 2016-06-30 02:35:21 UTC; larsko |
| Repository | CRAN |
| Date/Publication | 2016-06-30 17:56:47 |
| imports | digest , entropy , randomForest , RWeka |
| suggests | mlbench , rpart |
| Contributors | Piotr Romanski, Lars Kotthoff |
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