Interactive interface for efficient data visualization via a geometric approach. Salazar-Castro, J., A., Rosas-Narvaez, Y., C., Pantoja, A., D., Alvarado-Perez, J., C., & Peluffo-Ordonez, D., H. In 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA), pages 1-6, 9, 2015. IEEE.
Website doi abstract bibtex Dimensionality reduction (DR) methods represent a suitable alternative to visualizing data. Nonetheless, most of them still lack the properties of interactivity and controllability. In this work, we propose a data visualization interface that allows for user interaction within an interactive framework. Specifically, our interface is based on a mathematic geometric model, which combines DR methods through a weighted sum. Interactivity is provided in the sense that weighting factors are given by the user via the selection of points inside a geometric surface. Then, (even non-expert) users can intuitively either select a concrete DR method or carry out a mixture of methods. Experimental results are obtained using artificial and real datasets, demonstrating the usability and applicability of our interface in DR-based data visualization.
@inproceedings{
title = {Interactive interface for efficient data visualization via a geometric approach},
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abstract = {Dimensionality reduction (DR) methods represent a suitable alternative to visualizing data. Nonetheless, most of them still lack the properties of interactivity and controllability. In this work, we propose a data visualization interface that allows for user interaction within an interactive framework. Specifically, our interface is based on a mathematic geometric model, which combines DR methods through a weighted sum. Interactivity is provided in the sense that weighting factors are given by the user via the selection of points inside a geometric surface. Then, (even non-expert) users can intuitively either select a concrete DR method or carry out a mixture of methods. Experimental results are obtained using artificial and real datasets, demonstrating the usability and applicability of our interface in DR-based data visualization.},
bibtype = {inproceedings},
author = {Salazar-Castro, J. A. and Rosas-Narvaez, Y. C. and Pantoja, A. D. and Alvarado-Perez, Juan C. and Peluffo-Ordonez, Diego H.},
doi = {10.1109/STSIVA.2015.7330397},
booktitle = {2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA)}
}
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