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    Grand Tour and Projection Pursuit


    Cook, Dianne and Buja, Andreas and Cabrera, Javier and Hurley, Catherine B. (1995) Grand Tour and Projection Pursuit. Journal of Computational and Graphical Statistics, 4 (3). pp. 155-172. ISSN 1061-8600

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    Abstract

    The grand tour and projection pursuit are two methods for exploring multivariate data. We show how to combine them into a dynamic graphical tool for exploratory data analysis, called a projection pursuit guided tour. This tool assists in clustering data when clusters are oddly shaped and in finding general low-dimensional structure in high-dimensional, and in particular, sparse data. An example shows that the method, which is projection-based, can be quite powerful in situations that may cause grief for methods based on kernel smoothing. The projection pursuit guided tour is also useful for comparing and developing projection pursuit indexes and illustrating some types of asymptotic results.

    Item Type: Article
    Keywords: Data visualization; Interactive dynamic graphics; Data projections; Exploratory data analysis;
    Academic Unit: Faculty of Science and Engineering > Mathematics and Statistics
    Item ID: 10151
    Identification Number: https://doi.org/10.2307/1390844
    Depositing User: Dr. Catherine Hurley
    Date Deposited: 24 Oct 2018 14:11
    Journal or Publication Title: Journal of Computational and Graphical Statistics
    Publisher: Taylor & Francis, Ltd. on behalf of the American Statistical Association
    Refereed: Yes
    URI:

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