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Subspace Distance Equalities for kNN by Gonzalo René Ccama Ramos is a document available to read on EtoBox.
This document summarizes a research paper that proposes exploiting subspace distance equalities in high-dimensional data to efficiently compute k-nearest neighbor queries. The paper introduces a novel concept called subspace distance equality, which aims to reduce the number of distance computations needed for kNN queries independent of the data distribution. The authors integrate kNN algorithms into the Elf index structure to study the effects of subspace distance equality both in isolation and combined wi
- Author
- Gonzalo René Ccama Ramos
- Language
- EN