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From image processing to classification: III. Matching patterns by shifting and stretching
Author(s) -
Skovgaard Ib Michael,
Jensen Kirsten,
Søndergaard Ib
Publication year - 1995
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.11501601229
Subject(s) - electropherogram , matching (statistics) , variety (cybernetics) , transformation (genetics) , set (abstract data type) , pattern recognition (psychology) , artificial intelligence , computer science , image (mathematics) , displacement (psychology) , data mining , mathematics , biological system , chemistry , chromatography , statistics , electrophoresis , biology , psychology , biochemistry , psychotherapist , gene , programming language
A method for the classification of electrophoretic patterns is described and tested on a data set representing ten wheat varieties. The method attempts to match each electropherogram to each variety by a transformation involving displacement and stretching along the x ‐axis. This is done essentially by the method of least squares, which uses only the information contained in the electropherogram itself to adjust it to the variety in question. The method is completely automatic and works extremely well by classifying 98% of the spectra correctly, judged by cross validation.