Issue No. 01 - January (1984 vol. 6)
K. Fukunaga , Department of Electrical Engineering, Purdue University, West Lafayette, IN 47907.
J. M. Mantock , Department of Electrical Engineering, Purdue University, West Lafayette, IN; Aerospace Corporation, Los Angeles, CA; Texas Instruments, Inc., Dallas, TX.
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.
K. Fukunaga and J. M. Mantock, "Nonparametric Data Reduction," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 6, no. , pp. 115-118, 1984.