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Instance selection is about algorithms that search for a representative portion of data that can fulfill a data mining task as if the whole data is used. It is a very important data reduction technique, which can spare much memory and running time for data mining algorithms. This paper proposes a new method for Instance Selection by using Polar Grids (ISPG). The main idea is to search for a subset...
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