@inproceedings{
 title = {Interactive data visualization using dimensionality reduction and dissimilarity-based representations},
 type = {inproceedings},
 year = {2017},
 keywords = {Data visualization,Dimensionality reduction,Pairwise dissimilarity},
 pages = {461-469},
 volume = {10585 LNCS},
 id = {cd1b98be-df89-3ece-b719-a53299d2f53d},
 created = {2018-04-17T02:36:14.219Z},
 file_attached = {false},
 profile_id = {f01ceea9-1014-347a-b89d-aa69782ea2ee},
 last_modified = {2021-10-05T13:36:21.152Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {true},
 abstract = {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.},
 bibtype = {inproceedings},
 author = {Peña-Unigarro, D. F. and Rosero-Montalvo, P. and Revelo-Fuelagán, E. J. and Castro-Silva, J. A. and Alvarado-Pérez, J. C. and Therón, R. and Ortega-Bustamante, C. M. and Peluffo-Ordóñez, D. H.},
 doi = {10.1007/978-3-319-68935-7_50},
 booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}
}

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