Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations. Peña-Unigarro, D., F., Rosero-Montalvo, P., Revelo-Fuelagán, E., J., Castro-Silva, J., A., Alvarado-Pérez, J., C., Therón, R., Ortega-Bustamante, C., M., & Peluffo-Ordóñez, D., H. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 461-469. 2017. ![Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Website doi abstract bibtex This work describes a new model for interactive data visualization followed from a dimensionality-reduction (DR)-based approach. Particularly, the mixture of the resulting spaces of DR methods is considered, which is carried out by a weighted sum. For the sake of user interaction, corresponding weighting factors are given via an intuitive color-based interface. Also, to depict the DR outcomes while showing information about the input high-dimensional data space, the low-dimensional representations reached by the mixture is conveyed using scatter plots enhanced with an interactive data-driven visualization. In this connection, a constrained dissimilarity approach define the graph to be drawn on the scatter plot.
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doi = {10.1007/978-3-319-68935-7_50},
chapter = {Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations},
title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}
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