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

technical paper

Aggressive Language Detection using VGCN-BERT for Spanish Texts

BRACIS 2021

Errol Mamani and 1 other author

30 November 2021

Similar lecture

poster

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

ICPR 2020

Martin Becker

11 January 2021

Stay up to date with the latest Underline news!

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