@inproceedings{ABNSS14,
author={Amorim, E. and Vital Brazil, E. and Nonato, L.G. and Samavati, F. and Costa Sousa, M.},
booktitle={Pacific Visualization Symposium (PacificVis), 2014 IEEE},
title={Multidimensional Projection with Radial Basis Function and Control Points Selection},
year={2014},
month={March},
pages={209-216},
keywords={data analysis;data structures;radial basis function networks;RBF;control point selection;control point selection process;data complexity;forward-selection techniques;high-dimensional data;low-dimensional representation;multidimensional projection techniques;multivariate data analysis;neighborhood information;orthogonal least squares techniques;projection quality;radial basis function;Aerospace electronics;Interpolation;Kernel;Least squares approximations;Mathematical model;Stress;Dimensionality Reduction;High-Dimensional Data;Interpolation with Radial Basis Functions;Multidimensional Projection},
doi={10.1109/PacificVis.2014.59}
}