mdlp {discretization} | R Documentation |
Discretization using the Minimum Description Length Principle(MDLP)
Description
This function discretizes the continuous attributes of data matrix using entropy criterion with the Minimum Description Length as stopping rule.
Usage
mdlp(data)
Arguments
data |
data matrix to be discretized dataset |
Details
Minimum Discription Length Principle
Value
cutp |
list of cut-points for each variable |
Disc.data |
discretized data matrix |
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, 13, 1022–1027.
See Also
cutIndex
,
cutPoints
,
ent
,
mergeCols
,
mdlStop
,
mylog
.
Examples
data(iris)
mdlp(iris)$Disc.data
[Package discretization version 1.0-1.1 Index]