disc.Topdown {discretization} | R Documentation |
This function implements three top-down discretization algorithms(CAIM, CACC, Ameva).
disc.Topdown(data, method = 1)
data |
numeric data matrix to discretized dataset |
method |
|
cutp |
list of cut-points for each variable(minimun value, cut-points and maximum value) |
Disc.data |
discretized data matrix |
HyunJi Kim polaris7867@gmail.com
Gonzalez-Abril, L., Cuberos, F. J., Velasco, F. and Ortega, J. A. (2009) Ameva: An autonomous discretization algorithm, Expert Systems with Applications, 36, 5327–5332.
Kurgan, L. A. and Cios, K. J. (2004). CAIM Discretization Algorithm, IEEE Transactions on knowledge and data engineering, 16, 145–153.
Tsai, C. J., Lee, C. I. and Yang, W. P. (2008). A discretization algorithm based on Class-Attribute Contingency Coefficient, Information Sciences, 178, 714–731.
topdown
,
insert
,
findBest
,
findInterval
,
caim
,
cacc
,
ameva
##---- CAIM discretization ----
##----cut-potins
cm=disc.Topdown(iris, method=1)
cm$cutp
##----discretized data matrix
cm$Disc.data
##---- CACC discretization----
disc.Topdown(iris, method=2)
##---- Ameva discretization ----
disc.Topdown(iris, method=3)