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- research-articleMay 2015
IRAHC
Pattern Recognition (PATT), Volume 48, Issue 5Pages 1878–1889https://doi.org/10.1016/j.patcog.2014.11.005In instance-based classifiers, there is a need for storing a large number of samples as training set. In this work, we propose an instance reduction method based on hyperrectangle clustering, called Instance Reduction Algorithm using Hyperrectangle ...
- articleMay 2010
A new fast prototype selection method based on clustering
Pattern Analysis & Applications (PAAS), Volume 13, Issue 2Pages 131–141https://doi.org/10.1007/s10044-008-0142-xIn supervised classification, a training set T is given to a classifier for classifying new prototypes. In practice, not all information in T is useful for classifiers, therefore, it is convenient to discard irrelevant prototypes from T. This process is ...