k-NN Benchmarks Part I – Wikipedia

This article is the first in a series comparing different available methods for accelerating large-scale k-Nearest Neighbor searches on high-dimensional vectors (i.e., 100 components or more). The emphasis here is on practicality versus novelty–that is, we’re focusing on solutions which are readily available and can be used in production applications Read more…