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Please use this identifier to cite or link to this item: http://dspace.utalca.cl/handle/1950/4520

Title: Target Data Projection in Multivariate Visualization – An Application to Mine Planning
Authors: Soto, L.
Sanchez, R.
Amaya, J.
Keywords: Multivariate visualization; mine planning, multiple visualization workspaces; target data projection; human-computer interaction.
Issue Date: 2004
Publisher: Springer Berlin / Heidelberg
Citation: Computational Science and Its Applications – ICCSA 2004, Volume 3044: 603-612
Series/Report no.: Lecture Notes in Computer Science;
Abstract: Visualization is a key issue for multivariate data analysis. Multivariate visualization is an active research topic and many efforts have been made in order to find suitable and meaningful visual representations. In this paper we present a technique for data projection in multivariate datasets, named Target Data Projection (TDP). Through this technique a vector is created for each multivariate data item considering a subset of the available variables. A new scalar variable is generated projecting those vectors over a target vector that defines the direction of interest for visual analysis. End-users set up target vectors in order to explore particular relationships by means of application meaningful projections. Hence, it is possible to map a combination of multivariate data into one scalar variable for graphical representation and interaction. This technique has proved to be very flexible and useful in mine planning providing valuable information for decision making.
Description: Soto, L. Department of Systems Engineering, University of Talca, Casilla 747 - Talca - CHILE.
URI: http://dspace.utalca.cl/handle/1950/4520
ISBN: 978-3-540-22056-5
Appears in Collections:Artículos en publicaciones ISI - Universidad de Talca

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