RotationForest-package: An implementation of "Rotation Forest" decision trees in R

In mananshah99/rotationforest: An implementation of the "Rotation Forest" algorithm from Rodriguez et al. 2006 in R

Description

A RotationForest consists of an ensemble of decision trees (like a Random Forest), but every tree consists of k subsets and PCA is applied on each subset. This R package implements the presented analysis in Rodriguez et al. 2006 to provide the ability for further research to be done in the field.

Details

Package:	RotationForest
Type:	Package
Version:	1.0
Date:	2015-04-14
License:	MIT

RotationForest consists of two key user-exposed functions: RotationForest(...) and predict.RotationForest(...), the first of which is a constructor for the forest and the second is a prediction utility. Read the documentation for each of these functions for more information.

Author(s)

Manan Shah

Maintainer: Manan Shah <[e-mail]>

References

Juan J. Rodriguez, Ludmila I. Kuncheva, and Carlos J. Alonso. Rotation Forest: A New Classifier Ensemble Method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. \ Ludmila I. Kuncheva and Juan J. Rodriguez. An experimental study on rotation forest ensembles. In Proceedings of the 7th International Conference on Multiple Classifier Systems, MCS'07, pages 459-468, Berlin, Heidelberg, 2007. Springer-Verlag.

mananshah99/rotationforest documentation built on May 21, 2019, 11:23 a.m.