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    題名: GAP: A graphical environment for matrix visualization and cluster analysis
    作者: Wu, Han-Ming;Tien, Yin-Jing;Chen, Chun-Houh
    貢獻者: 淡江大學數學學系
    日期: 2010-03
    上傳時間: 2011-10-01 21:07:15 (UTC+8)
    出版者: Amsterdam: Elsevier BV
    摘要: 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.
    關聯: Computational Statistics & Data Analysis 54(3), pp.767–778
    DOI: 10.1016/j.csda.2008.09.029
    顯示於類別:[數學學系暨研究所] 期刊論文

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