Dimensionality reduction for interactive data visualization via a Geo-Desic approach. Salazar-Castro, J., A., Pena-Unigarro, D., Peluffo-Ordonez, D., H., Rosero-Montalvo, P., D., Dominguez-Limaico, H., M., Alvarado-Perez, J., C., & Theron, R. In 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI), pages 1-6, 11, 2016. IEEE.
Dimensionality reduction for interactive data visualization via a Geo-Desic approach [link]Website  doi  abstract   bibtex   
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 = {2016},
 keywords = {controllability,data information,data visualization,dimensionality reduction,intelligible data,interaction,interface},
 pages = {1-6},
 websites = {http://ieeexplore.ieee.org/document/7885740/},
 month = {11},
 publisher = {IEEE},
 id = {63e3f903-38a3-3cb4-8611-6218437dbba8},
 created = {2022-01-26T03:00:44.809Z},
 file_attached = {false},
 profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},
 group_id = {b9022d50-068c-31b4-9174-ebfaaf9ee57b},
 last_modified = {2022-01-26T03:00:44.809Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Salazar-Castro2016},
 private_publication = {false},
 abstract = {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, Jose A. and Pena-Unigarro, Diego and Peluffo-Ordonez, Diego H. and Rosero-Montalvo, Paul D. and Dominguez-Limaico, H. Mauricio and Alvarado-Perez, Juan C. and Theron, Roberto},
 doi = {10.1109/LA-CCI.2016.7885740},
 booktitle = {2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI)}
}

Downloads: 0