GAP: A graphical environment for matrix visualization and cluster analysis
學年 98
學期 2
出版（發表）日期 2010-03-01
作品名稱 GAP: A graphical environment for matrix visualization and cluster analysis
作品名稱（其他語言）
著者 Wu, Han-Ming; Tien, Yin-Jing; Chen, Chun-Houh
單位 淡江大學數學學系
出版者 Amsterdam: Elsevier BV
著錄名稱、卷期、頁數 Computational Statistics & Data Analysis 54(3), pp.767–778
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.
關鍵字
語言 en
ISSN 0167-9473
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者
審稿制度 是
國別 NLD
公開徵稿
出版型式 紙本
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