Dimensionality reduction for interactive data visualization via a Geo-Desic approach. Salazar-Castro, J., Peña-Unigarro, D., Peluffo-Ordóñez, D., Rosero-Montalvo, P., Dominguez-Limaico, H., Alvarado-Perez, J., & Theron, R. In 2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings, 2017. doi abstract bibtex © 2016 IEEE. This work presents a dimensionality reduction (DR) framework that enables users to perform either the selection or mixture of DR methods by means of an interactive model, here named Geo-Desic approach. Such a model consists of linear combination of kernel-based representations of DR methods, wherein the corresponding coefficients are related to coordinated latitude and longitude inside of the world map. By incorporating the Geo-Desic approach within an interface, the combination may be made easily and intuitively by users -even non-expert ones- fulfilling their criteria and needs, by just picking up points from the map. Experimental results demonstrates the usability and ability of DR methods representation of proposed approach.
@inproceedings{
title = {Dimensionality reduction for interactive data visualization via a Geo-Desic approach},
type = {inproceedings},
year = {2017},
keywords = {controllability,data information,data visualization,dimensionality reduction,intelligible data,interaction,interface},
id = {33d4122c-61b3-3af6-abf1-405a20af0e71},
created = {2018-04-17T02:36:13.976Z},
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last_modified = {2018-04-17T02:36:13.976Z},
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abstract = {© 2016 IEEE. This work presents a dimensionality reduction (DR) framework that enables users to perform either the selection or mixture of DR methods by means of an interactive model, here named Geo-Desic approach. Such a model consists of linear combination of kernel-based representations of DR methods, wherein the corresponding coefficients are related to coordinated latitude and longitude inside of the world map. By incorporating the Geo-Desic approach within an interface, the combination may be made easily and intuitively by users -even non-expert ones- fulfilling their criteria and needs, by just picking up points from the map. Experimental results demonstrates the usability and ability of DR methods representation of proposed approach.},
bibtype = {inproceedings},
author = {Salazar-Castro, J.A. and Peña-Unigarro, D. and Peluffo-Ordóñez, D.H. and Rosero-Montalvo, P.D. and Dominguez-Limaico, H.M. and Alvarado-Perez, J.C. and Theron, R.},
doi = {10.1109/LA-CCI.2016.7885740},
booktitle = {2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings}
}
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