Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10585)


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.


Data visualization Dimensionality reduction Pairwise dissimilarity 



This work is supported by the “Grupo de Investigación en Ingeniería Eléctrica y Electrónica - GIIEE” from Universidad de Nariño. As well, the authors acknowledge to the research project “Desarrollo de una metodología de visualización interactiva y eficaz de información en Big Data” supported by Agreement No. 180 November 1st, 2016 by VIPRI from Universidad de Nariño, as well as Universidad Técnica del Norte – Ecuador.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Universidad de NariñoPastoColombia
  2. 2.Universidad Técnica del NorteIbarraEcuador
  3. 3.Instituto Tecnológico Superior 17 de JulioIbarraEcuador
  4. 4.Universidad SurcolombianaNeivaColombia
  5. 5.Coorporación Universitaria Autónoma de NariñoPastoColombia
  6. 6.Universidad de SalamancaSalamancaSpain

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