Issue No.09 - September (1974 vol.23)
J.H. Friedman , Stanford Linear Accelerator Center
An algorithm for the analysis of multivariate data is presented and is discussed in terms of specific examples. The algorithm seeks to find one-and two-dimensional linear projections of multivariate data that are relatively highly revealing.
Clustering, dimensionality reduction, mappings, multidimensional scaling, multivariate data analysis, nonparametric pattern recognition, statistics.
J.H. Friedman, "A Projection Pursuit Algorithm for Exploratory Data Analysis", IEEE Transactions on Computers, vol.23, no. 9, pp. 881-890, September 1974, doi:10.1109/T-C.1974.224051