A virtual reality data visualization tool for dimensionality reduction methods
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Fecha
2024
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Springer
Resumen
In this paper, we present a virtual reality interactive tool for generating and manipulating visualizations for high-dimensional data in a natural and intuitive stereoscopic way. Our tool offers support for a diverse range of dimensionality reduction (DR) algorithms, enabling the transformation of complex data into insightful 2D or 3D representations within an immersive VR environment. The tool also allows users to include annotations with a virtual pen using hand tracking, to assign class labels to the data observations, and to perform simultaneous visualization with other users within the 3D environment to facilitate collaboration.
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Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
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Citación
Morales-Vega, J.C., Raya, L., Rubio-Sánchez, M. et al. A virtual reality data visualization tool for dimensionality reduction methods. Virtual Reality 28, 41 (2024). https://doi.org/10.1007/s10055-024-00939-8
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