A Stochastic Approach to Wilson's Editing Algorithm

Abstract. Two extensions of the original Wilson’s editing method are introduced in this paper. These new algorithms are based on estimating probabilities from the k-nearest neighbor patterns of an instance, in order to obtain more compact edited sets while maintaining the classification rate. Several experiments with synthetic and real data sets are carried out to illustrate the behavior of the algorithms proposed here and compare their performance with that of other traditional techniques.

• Type: Conference
• Year: 2005
• Where: IBPRIA
• Authors: Fernando Vázquez, José Salvador Sánchez, Filiberto Pla
• Keywords: Compact Edited Sets, IBPRIA 2005, Image Analysis, K-nearest Neighbor Patterns, Wilson’s Editing Method