Improving Computational Performance of Least Squares Multiple Birth Support Vector Machines with k-Means Clustering

Arslan, Güvenç; Bülbül, Nisa Nur

doi:10.36287/setsci.6.1.010

Research Article Peer ReviewedAt least two reviewers Open Access

Improving Computational Performance of Least Squares Multiple Birth Support Vector Machines with k-Means Clustering

Güvenç Arslan¹^✉ · Nisa Nur Bülbül¹

¹Kırıkkale University

✉ Corresponding author: Güvenç Arslan · guvenc.arslan@kku.edu.tr

Proceedings Cognitive Models and Artificial Intelligence Conference Volume 15 Pages 18–21 Year 2023

https://doi.org/10.36287/setsci.6.1.010

PDF BibTeX RIS

Article Metrics

153

SETSCI v2.0 views

65

SETSCI v2.0 downloads

0

Citations (Crossref)

Annual views and PDF downloads

ViewsDownloads

2026 155 / 65

Counts follow the year of the recorded activity. The current year is partial.

SETSCI v2.0 views/downloads are our own server-side counts since publication, with obvious bots excluded — not citations or any external index. Citation counts, where shown, always carry their own source.

Check in Google Scholar