5 citations · 10 across the 4 of their papers we have counts for
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stat.ML2021★ 1 cited
Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data
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. Algorithm efficiency on time is often…
stat.ML2020★ 3 cited
Inverted-File k-Means Clustering: Performance Analysis
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…