title: Nonparametric data reduction.
abstract: A nonparametric data reduction technique is proposed. Its goal is to select samples that are ``representative'' of the entire data set. The technique is iterative and is based on the use of a criterion function and nearest neighbor density estimates. Experiments are presented to demonstrate the algorithm.
authors.affiliation: Department of Electrical Engineering, Purdue University, West Lafayette, IN 47907.
authors.forename: K
authors.initials: K
authors.lastname: Fukunaga
authors.forename: J M
authors.initials: JM
authors.lastname: Mantock