cfs: CFS filter
In larskotthoff/fselector: Selecting Attributes
cfs R Documentation
CFS filter
Description
The algorithm finds attribute subset using correlation and entropy measures for continous and discrete data.
Usage
cfs(formula, data)
Arguments
formula
a symbolic description of a model
data
data to process
Details
The alorithm makes use of best.first.search for searching the attribute subset space.
Value
a character vector containing chosen attributes
Author(s)
Piotr Romanski
See Also
best.first.search
Examples
data(iris)
subset <- cfs(Species~., iris)
f <- as.simple.formula(subset, "Species")
print(f)
larskotthoff/fselector documentation built on Aug. 31, 2023, 4:45 a.m.
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| cfs | R Documentation |
CFS filter
Description
The algorithm finds attribute subset using correlation and entropy measures for continous and discrete data.
Usage
cfs(formula, data)
Arguments
formula |
a symbolic description of a model |
data |
data to process |
Details
The alorithm makes use of best.first.search for searching the attribute subset space.
Value
a character vector containing chosen attributes
Author(s)
Piotr Romanski
See Also
best.first.search
Examples
data(iris)
subset <- cfs(Species~., iris)
f <- as.simple.formula(subset, "Species")
print(f)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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