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Prototype generation on structural data using dissimilarity space representation
2016
Neural computing & applications (Print)
Data Reduction techniques play a key role in instance-based classification to lower the amount of data to be processed. Among the different existing approaches, Prototype Selection (PS) and Prototype Generation (PG) are the most representative ones. These two families differ in the way the reduced set is obtained from the initial one: while the former aims at selecting the most representative elements from the set, the latter creates new data out of it. Although PG is considered to delimit more
doi:10.1007/s00521-016-2278-8
fatcat:2elbhayncnhgvo4d3ldhm6hudu