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Tetsuo Ikeda

1 paper here

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author position
  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.ML1

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most citedInverted-File k-Means Clustering: Performance Analysis

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.