combine

combine.wsrf

two or more objects of class <code>randomForest</code>, to be
    combined into one.

Combine two more more ensembles of trees into one.

A parallel implementation of Weighted Subspace Random
    Forest.  The Weighted Subspace Random Forest algorithm was
    proposed in the International Journal of Data Warehousing and
    Mining, 8(2):44-63, 2012, proposed by Baoxun Xu, Joshua Zhexue
    Huang, Graham Williams, Qiang Wang, and Yunming Ye.  The algorithm
    can classify very high-dimensional data with random forests built
    using small subspaces.  A novel variable weighting method is used
    for variable subspace selection in place of the traditional random
    variable sampling.This new approach is particularly useful in
    building models from high-dimensional data.

combine.wsrf: Combine Ensembles of Trees

Description

Usage

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See Also