The idea of summarizing the information contained in a large number variables by small “factors” or “principal components” has been broadly adopted statistics. This article introduces generalization widely used principal component analysis (PCA) to nonlinear settings, thus providing new tool for dimension reduction and exploratory data representation. distinguishing features method include (i) ...