Lecture image placeholder

Premium content

Access to this content requires a subscription. You must be a premium user to view this content.

Monthly subscription - $9.99Pay per view - $4.99Access through your institutionLogin with Underline account
Need help?
Contact us
Lecture placeholder background
VIDEO DOI: https://doi.org/10.48448/w55z-g775

technical paper

BRACIS 2021

November 30, 2021

Virtual, Brazil

A Kullback-Leibler divergence-based locally linear embedding method: a novel parametric approach for cluster analysis

Please log in to leave a comment

Downloads

SlidesTranscript English (automatic)

Next from BRACIS 2021

Aggressive Language Detection using VGCN-BERT for Spanish Texts
technical paper

Aggressive Language Detection using VGCN-BERT for Spanish Texts

BRACIS 2021

José Ochoa-LunaErrol Mamani
Errol Mamani and 1 other author

30 November 2021

Similar lecture

Dimensionality Reduction for Data Visualization and Linear Classification - Robustness vs. Accuracy
poster

Dimensionality Reduction for Data Visualization and Linear Classification - Robustness vs. Accuracy

ICPR 2020

Martin Becker
Martin Becker

11 January 2021

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Lectures
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2023 Underline - All rights reserved