classification


can we use GMDH for two or three class classiication


As I read in R package GMDH a function for short term forecasting of a univariate time series by using GMDH-type neural network algorithms. Can i use it for Iris Dataset?
At the moment there two GMDH packages in R:
devtools::install_github("dratewka/rGMDH")
library(rGMDH)
m <- rGMDH::train(x,y)
yh <- predict(m, x)
and
library(GMDH)
out = fcast(data, input = 6, layer = 2, f.number = 1)
Both are designed for short-term forecasting and you will not be able to use them for classification.
However, by design, GMDH algorithms are very suitable for multi-variable classification. In fact, better than regression (see e.g. Section 5 in http://math.umaine.edu/~farlow/gmdh%20in%20pdf.pdf or Section 8 in
The Review of Problems Solvable by Algorithms of the Group Method of Data Handling (GMDH) ). Unfortunately they have not been fully implemented in R yet.
If interested, you may be able to implement it yourself using R base classes - E.g. See the first reference above to describe the exact algorithm.

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