An L-PLS preference cluster analysis on French consumer hedonics to fresh tomatoes

Breiman, 1984 Breiman, 1992, Submodel selection and evaluation in regression: The X-random case, International Statistical Review, 60, 291, 10.2307/1403680 Calinski, 1974, A dendrite method for cluster analysis, Communications in Statistics, 3, 1, 10.1080/03610927408827101 Chambers, 1983 Davies, 1979, A cluster separation measure, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-1, 224, 10.1109/TPAMI.1979.4766909 Dubes, 1987, How many clusters are best?––an experiment, Pattern Recognition, 20, 645, 10.1016/0031-3203(87)90034-3 Holland, 1975 Hubert, 1976, Quadratic assignment as a general data analysis strategy, British Journal of Mathematical and Statistical Psychology, 29, 190, 10.1111/j.2044-8317.1976.tb00714.x Hurvich, 1989, Regression and time series model selection in small samples, Biometrika, 76, 297, 10.1093/biomet/76.2.297 Jobson, 1992 Kohonen, 1982, Self-organized formation of topologically correct feature maps, Biological Cybernetics, 43, 59, 10.1007/BF00337288 Mao, 1996, A self-organizing network for hyperellipsoidal clustering (HEC), IEEE Transactions on Neural Networks, 7, 16, 10.1109/72.478389 Martens, 2005, Regression of a data matrix on descriptors of both its rows and of its columns via latent variables: L-PLSR, Computational Statistics and Data Analysis, 48, 103, 10.1016/j.csda.2003.10.004 Martens, 1989 Mathworks, Inc. (2004). Statistics Toolbox 5. Available from: http://www.mathworks.com/products/statistics. Michalewicz, 1999 Milligan, 1981, A Monte Carlo Study of Thirty Internal Criterion Measures for Cluster Analysis, Psychometrica, 46, 187, 10.1007/BF02293899 Milligan, 1985, An examination of procedures for determining the number of clusters in a data set, Psychometrica, 50, 159, 10.1007/BF02294245 Shao, 1997, An asymptotic theory for model selection (with discussion), Statistica Sinica, 7, 221 Shao, 1995 Wise, 1998 Wold, 1975, Path models with latent variables: the NIPALS approach Wold, 1980, Model construction and evaluation when theoretical knowledge is scarce–theory and application of partial least squares Wold, 1981, Soft modelling: the basic design and some extensions Wold, 1983 Wold, 1976, Pattern recognition by means of disjoint principal components models, Pattern Recognition, 8, 127, 10.1016/0031-3203(76)90014-5