@conference{ortega2020,

title = {Introducing the Concept of Interaction Model for Interactive Dimensionality Reduction and Data Visualization},

author = {M. C. Ortega-Bustamante, W. Hasperué, D. H. Peluffo-Ordóñez, M. Paéz-Jaime, I. Marrufo-Rodríguez, P. Rosero-Montalvo, A. C. Umaquinga-Criollo, M. Vélez-Falconí},

editor = {Springer, Cham

Lecture Notes in Computer Science},

url = {https://link.springer.com/chapter/10.1007%2F978-3-030-58802-1_14 



},

doi = {https://doi.org/10.1007/978-3-030-58802-1_14 },

isbn = {978-3-030-58801-4},

year  = {2020},

date = {2020-10-02},

booktitle = {Computational Science and Its Applications – ICCSA 2020},

volume = {12250},

number = {Part II},

pages = {193-203},

abstract = {This letter formally introduces the concept of interaction model (IM), which has been used either directly or tangentially in previous works but never defined. Broadly speaking, an IM consists of the use of a mixture of dimensionality reduction (DR) techniques within an interactive data visualization framework. The rationale of creating an IM is the need for simultaneously harnessing the benefit of several DR approaches to reach a data representation being intelligible and/or fitted to any user’s criterion. As a remarkable advantage, an IM naturally provides a generalized framework for designing both interactive DR approaches as well as readily-to-use data visualization interfaces. In addition to a comprehensive overview on basics of data representation and dimensionality reduction, the main contribution of this manuscript is the elegant definition of the concept of IM in mathematical terms.},

keywords = {Data visualization, Dimensionality reduction, Interaction model Kernel functions},

pubstate = {published},

tppubtype = {conference}

}