EPJ Web Conf.
Volume 226, 2020Mathematical Modeling and Computational Physics 2019 (MMCP 2019)
|Number of page(s)||4|
|Section||Mathematical and Computational Support of the Experiments, Computing Tools, and Software Services|
|Published online||20 January 2020|
Nested Intellectual Data Grouping and Clusterization for the Interactive Visual Explorer
Lomonosov Moscow State University,
2 National Research Nuclear University “MEPhI”, Moscow, Russia
3 Plekhanov Russian University of Economics, Moscow, Russia
★ e-mail: email@example.com
Published online: 20 January 2020
The Interactive Visual Explorer (InVEx) application is designed as a visual analytics tool for Big Data analysis. Visual analytics is an integral approach to data analysis, combining methods of intellectual data analysis with advanced interactive visualization. One of the main objectives of InVExis to process large data samples by decreasing their level of detail (LoD).The proposed approach includes clustering as well as flexible grouping by different parameters, providing the exploration of data from the lowest to the highest level of details. The results of grouping and clusterization arevisualized using interactive 3D scene and parallel coordinates, allowing the user to gain insight into data, to explore hidden correlations and trends of parameters.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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