Search Results for author: Kazumi Saito

Found 2 papers, 0 papers with code

Structured Inverted-File k-Means Clustering for High-Dimensional Sparse Data

no code implementations30 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.

Clustering Vocal Bursts Intensity Prediction

Inverted-File k-Means Clustering: Performance Analysis

no code implementations21 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.

Clustering

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