Open AccessParzen classification in generalised dissimilarity spaces
Author(s) -
TrujilloPulgarín C.A.,
OrozcoAlzate M.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2012.3431
Subject(s) - pattern recognition (psychology) , classifier (uml) , artificial intelligence , mathematics , feature vector , feature (linguistics) , space (punctuation) , computer science , philosophy , linguistics , operating system
The dissimilarity representation for pattern recognition has proved to be a feasible alternative to the traditional feature based approach. It is shown that the application of the Parzen classifier, in the so‐called generalised dissimilarity space by feature lines, may improve the recognition performance obtained by other classification rules in the original dissimilarity space and in the generalised dissimilarity space.