mylog: Auxiliary function for performing discretization using MDLP
In discretization: Data Preprocessing, Discretization for Classification
mylog R Documentation
Auxiliary function for performing discretization using MDLP
Description
This function is required to perform the minimum discription length principle, mdlp().
Usage
mylog(x)
Arguments
x
a vector of numeric value
Author(s)
HyunJi Kim polaris7867@gmail.com
References
Fayyad, U. M. and Irani, K. B.(1993). Multi-interval discretization of continuous-valued attributes for classification learning, Artificial intelligence, Vol. 13, 1022–1027.
See Also
mergeCols,
ent,
cutIndex,
cutPoints,
mdlStop and
mdlp.
discretization documentation built on June 9, 2022, 5:09 p.m.
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| mylog | R Documentation |
Auxiliary function for performing discretization using MDLP
Description
This function is required to perform the minimum discription length principle, mdlp().
Usage
mylog(x)
Arguments
x |
a vector of numeric value |
Author(s)
HyunJi Kim polaris7867@gmail.com
References
Fayyad, U. M. and Irani, K. B.(1993). Multi-interval discretization of continuous-valued attributes for classification learning, Artificial intelligence, Vol. 13, 1022–1027.
See Also
mergeCols,
ent,
cutIndex,
cutPoints,
mdlStop and
mdlp.
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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