Most dimension reduction techniques produce ordered coordinates so that only the first few coordinates need be considered in subsequent analyses. The choice of how many coordinates to use is often made with a visual heuristic, i.e., by making a scree plot and looking for a "big gap" or an "elbow." In this article, we present a simple and automatic procedure to accomplish this goal by maximizing a simple profile likelihood function. We give a wide variety of both simulated and real examples. © 2005 Elsevier B.V. All rights reserved.
CITATION STYLE
Zhu, M., & Ghodsi, A. (2006). Automatic dimensionality selection from the scree plot via the use of profile likelihood. Computational Statistics and Data Analysis, 51(2), 918–930. https://doi.org/10.1016/j.csda.2005.09.010
Mendeley helps you to discover research relevant for your work.