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 language | English |
|---|---|
| Pages (from-to) | 143-165 |
| Number of pages | 23 |
| Journal | International Journal of Computational Geometry and Applications |
| Volume | 22 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2012 |
Keywords
- Red-blue separation
- binary space partitions
- classification
- decision trees
- machine learning
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