Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Proceedings of the 3rd International Conference on Genetic Algorithms
A dimensionality reduction algorithm and its application for interactive visualization
Journal of Visual Languages and Computing
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
Hi-index | 0.00 |
Multidimensional scaling maps a set of n-dimensional objects into a lower-dimension space, usually the Euclidean plane, preserving the distances among objects in the original space. Most algorithms for multidimensional scaling have been designed to work on numerical data, but in soft sciences, it is common that objects are described using quantitative and qualitative attributes, even with some missing values. For this reason, in this paper we propose a genetic algorithm especially designed for multidimensional scaling over mixed and incomplete data. Some experiments using datasets from the UCI repository, and a comparison against a common algorithm for multidimensional scaling, shows the behavior of our proposal.