Partitioning point sets in arbitrary dimension

Abstract

We introduce a new type of partition called a parallel planes partition. We prove there exists a parallel planes partition of any set of n points in arbitrary dimension. This partition yields a data structure for the half-space retrieval problem in arbitrary dimension; it has linear size and achieves a sublinear query time. Also, we give efficient algorithms for computing this partition.