Adaptive partitioning strategies for ternary tree structures

  • Authors:

  • Jeffrey K. Uhlmann

  • Affiliations:

  • -

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1991

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Abstract

Test results of three adaptive partition strategies for constructing multidimensional ternary trees are presented. Such trees can be used to efficiently identify correlated measurements with error bounds that can be represented as finite volumes.