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Separability of point sets by k-level linear classification trees

  • University of Seville
  • Polytechnic University of Catalonia

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Let R and B be sets of red and blue points in the plane in general position. We study the problem of computing a k-level binary space partition (BSP) tree to classify/separate R and B, such that the tree defines a linear decision at each internal node and each leaf of the tree corresponds to a (convex) cell of the partition that contains only red or only blue points. Specifically, we show that a 2-level tree can be computed, if one exists, in time O(n 2). We show that a minimum-level (3 ≤ k ≤ log n) tree can be computed in time n O(log n). In the special case of axis-parallel partitions, we show that 2-level and 3-level trees can be computed in time O(n), while a minimum-level tree can be computed in time O(n 5).

Original languageEnglish
Pages (from-to)143-165
Number of pages23
JournalInternational Journal of Computational Geometry and Applications
Volume22
Issue number2
DOIs
StatePublished - Apr 2012

Keywords

  • Red-blue separation
  • binary space partitions
  • classification
  • decision trees
  • machine learning

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