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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/58738

    Title: GAP: A graphical environment for matrix visualization and cluster analysis
    Authors: Wu, Han-Ming;Tien, Yin-Jing;Chen, Chun-Houh
    Contributors: 淡江大學數學學系
    Date: 2010-03
    Issue Date: 2011-10-01 21:07:15 (UTC+8)
    Publisher: Amsterdam: Elsevier BV
    Abstract: GAP is a Java-designed exploratory data analysis (EDA) software for matrix visualization (MV) and clustering of high-dimensional data sets. It provides direct visual perception for exploring structures of a given data matrix and its corresponding proximity matrices, for variables and subjects. Various matrix permutation algorithms and clustering methods with validation indices are implemented for extracting embedded information. GAP has a friendly graphical user interface for easy handling of data and proximity matrices. It is more powerful and effective than conventional graphical methods when dimension reduction techniques fail or when data is of ordinal, binary, and nominal type.
    Relation: Computational Statistics & Data Analysis 54(3), pp.767–778
    DOI: 10.1016/j.csda.2008.09.029
    Appears in Collections:[Graduate Institute & Department of Mathematics] Journal Article

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