Abstract:Feature selection consists of choosing a smaller number of variables to work with when analyzing high-dimensional data sets. Recently, several visualization tools, techniques, and feature relevance measures have been developed in order to help users carry out the feature selection. Some of these approaches are based on radial axes methods, where analysts perform 1 backward feature elimination by discarding features that have a low impact on the visualizations. Similarly, in this paper, we 2 propose a new featu… Show more
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