no code implementations • 30 Mar 2021 • Kazuo Aoyama, Kazumi Saito
This paper presents an architecture-friendly k-means clustering algorithm called SIVF for a large-scale and high-dimensional sparse data set.
no code implementations • 21 Feb 2020 • 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.