Improving Dimensionality Reduction Projections for Data Visualization

In data science and visualization, dimensionality reduction techniques have been extensively employed for exploring large datasets. These techniques involve the transformation of high-dimensional data into reduced versions, typically in 2D, with the aim of preserving significant properties from the...

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Hlavní autoři:	Bardia Rafieian, Pedro Hermosilla, Pere-Pau Vázquez
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-09-01
Edice:	Applied Sciences
Témata:	dimensionality reduction data visualization document embeddings
On-line přístup:	https://www.mdpi.com/2076-3417/13/17/9967
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