3 citations · 4 across the 4 of their papers we have counts for
1 paper · 1 filter
Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda
This paper presents an inverted-file k-means clustering algorithm (IVF) suitable for a large-scale sparse data set with potentially numerous classes. Given such a data set, IVF eff…