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Claim

TINTO: A novel algorithm for converting tidy data into synthetic image

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 16 Dec 2022Publisher:Zenodo
Authors: Manuel Castillo-Cara; Raúl García Castro; Luis Orozco Barbosa;
Code repository: https://github.com/manwestc/TINTO

doi: 10.5281/zenodo.7447365 , 10.5281/zenodo.7447366 , 10.5281/zenodo.7463973

TINTO: A novel algorithm for converting tidy data into synthetic image

Abstract

{"references": ["Talla-Chumpitaz, R., Castillo-Cara, M., Orozco-Barbosa, L., & Garc\u00eda-Castro, R. (2023). A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation. Information Fusion, 91, 173-186."]}

This is a novel script for converting Tidy Data into images. For this versión only use PCA and t-SNE algorithms and Blurring technique

If you use this software, please cite it as below.

Related Organizations
Keywords

Image blurring technique, Tabular data into image, Image generation, Tidy Data into image, synthetic images

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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