TY - JOUR
T1 - Pattern recognition studies in chemical communication
T2 - Nestmate recognition in Camponotus floridanus
AU - Lavine, Barry K.
AU - Morel, Laurence
AU - Vander Meer, Robert K.
AU - Gunderson, Robert W.
AU - Han, Jian H.
AU - Bonanno, Anthony
AU - Stine, Arthur
N1 - Funding Information:
This study was partially supportedb y Contract F08635-90-C-0105b etween Clarkson University and the United StatesA ir Force. The authorsw ish to thank Janet Lavine for many valuabled iscus-sions.
PY - 1990/8
Y1 - 1990/8
N2 - Lavine, B.K., Morel, L., Vander Meer, R.K., Gunderson, R.W., Han, J.H., Bonanno, A. and Stine, A., 1990. Pattern recognition studies in chemical communication: nestmate recognition in Camponotus floridanus. Chemometrics and Intelligent Laboratory Systems, 9: 107-114. The combination of gas chromatography and pattern recognition (GC/PR) analysis is a powerful tool for investigating complicated biological problems. Clustering, mapping, and principal component modelling are necessary to analyze large chromatographic data sets and to seek meaningful relationships between chemical constitution and biological variables. We have applied GC/PR to the problem of deciphering the complex chemical messages of Camponotus floridanus (a carpenter ant) and have learned that GC traces of soaks obtained from the carpenter ants are characteristic of their colony of origin, social caste, and social experience. In this study gas chromatographic data obtained from 119 red carpenter ants was analyzed using principal component analysis and the FCV clustering algorithm.
AB - Lavine, B.K., Morel, L., Vander Meer, R.K., Gunderson, R.W., Han, J.H., Bonanno, A. and Stine, A., 1990. Pattern recognition studies in chemical communication: nestmate recognition in Camponotus floridanus. Chemometrics and Intelligent Laboratory Systems, 9: 107-114. The combination of gas chromatography and pattern recognition (GC/PR) analysis is a powerful tool for investigating complicated biological problems. Clustering, mapping, and principal component modelling are necessary to analyze large chromatographic data sets and to seek meaningful relationships between chemical constitution and biological variables. We have applied GC/PR to the problem of deciphering the complex chemical messages of Camponotus floridanus (a carpenter ant) and have learned that GC traces of soaks obtained from the carpenter ants are characteristic of their colony of origin, social caste, and social experience. In this study gas chromatographic data obtained from 119 red carpenter ants was analyzed using principal component analysis and the FCV clustering algorithm.
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U2 - 10.1016/0169-7439(90)80057-D
DO - 10.1016/0169-7439(90)80057-D
M3 - Article
AN - SCOPUS:0025108157
SN - 0169-7439
VL - 9
SP - 107
EP - 114
JO - Chemometrics and Intelligent Laboratory Systems
JF - Chemometrics and Intelligent Laboratory Systems
IS - 1
ER -