- L. Micó; F. Moreno-Seco; J. S. Sánchez; J. M. Sotoca; R. A. Mollineda
"On the use of different classification rules in an editing task"
Lecture Notes in Computer Science, vol. 4109, pp. 747--754
Editing allows the selection of a representative subset of prototypes
among the training sample to improve the performance of a
classification task. The Wilson's editing algorithm was the first
proposal and then a great variety of new editing techniques have been
proposed based on it. This algorithm consists on the elimination of
prototypes in the training set that are misclassified using the k-NN
rule. From such editing scheme, a general editing procedure can be
straightforward derived, where any classifier beyond k-NN can be
used. In this paper, we analyze the behavior of this general editing
procedure combined with 3 different neighborhood-based classification
rules, including k-NN. The results reveal better performances of the
2 other techniques with respect to k-NN in most of cases.
author = "L. Micó; F. Moreno-Seco; J. S. Sánchez; J. M. Sotoca; R. A. Mollineda",
title = "On the use of different classification rules in an editing task",
journal = "Lecture Notes in Computer Science",
pages = "747--754",
volume = "4109",
year = "2006"