V-optimal Histograms - Advantages of V-optimality Vs. Equi-Width or Equi-Depth

Advantages of V-optimality Vs. Equi-Width or Equi-Depth

V-optimal histograms do a better job of estimating the bucket contents. A histogram is an estimation of the base data, and any histogram will have errors. The partition rule used in VOptimal histograms attempts to have the smallest variance possible among the buckets, which provides for a smaller error. Research done by Poosala and Ionnaidis 1 has demonstrated that the most accurate estimation of data is done with a VOptimal histogram using value as a sort parameter and frequency as a source parameter.

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