LOCALLY LINEAR EMBEDDING FOR NONLINEAR DIMENSION REDUCTION IN CLASSIFICATION PROBLEMS: AN APPLICATION TO GENE EXPRESSION DATA

Although classification is by no means a new subject in the statistical literature, the large and complex multivariate datasets typical of some real problems raise new methodological and computational challenges. For example, in the last few years gene expression measurements, as currentl