Classification Trees with Bivariate Linear Discriminant Node Models

  • Hyunjoong Kim Wei-Yin Loh
  • Published 2001

Abstract

We introduce a classification tree algorithm that can simultaneously reduce tree size, improve class prediction, and enhance data visualization. We accomplish this by fitting a bivariate linear discriminant model to the data in each node. Standard algorithms can produce fairly large tree structures, because they employ a very simple node model, wherein the… (More)

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