教師資料查詢 | 類別: 期刊論文 | 教師: 吳漢銘 Han-ming Wu (瀏覽個人網頁)

標題:Exploratory data analysis of interval-valued symbolic data with matrix visualization
學年103
學期1
出版(發表)日期2014/11/01
作品名稱Exploratory data analysis of interval-valued symbolic data with matrix visualization
作品名稱(其他語言)
著者Kao, Chiun-How; Nakano, Junji; Shieh, Sheau-Hue; Tien, Yin-Jing; Wu, Han-Ming; Yang, Chuan-kai; 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 79, pp.14-29
摘要Symbolic data analysis (SDA) has gained popularity over the past few years because of its potential for handling data having a dependent and hierarchical nature. Amongst many methods for analyzing symbolic data, exploratory data analysis (EDA: Tukey, 1977) with graphical presentation is an important one. Recent developments of graphical and visualization tools for SDA include zoom star, closed shapes, and parallel-coordinate-plots. Other studies project high dimensional symbolic data into lower dimensional spaces using symbolic data versions of principal component analysis, multidimensional scaling, and self-organizing maps. Most graphical and visualization approaches for exploring symbolic data structure inherit the advantages of their counterparts for conventional (non-symbolic) data, but also their disadvantages. Here we introduce matrix visualization (MV) for visualizing and clustering symbolic data using interval-valued symbolic data as an example; it is by far the most popular symbolic data type in the literature and the most commonly encountered one in practice. Many MV techniques for visualizing and clustering conventional data are converted to symbolic data, and several techniques are newly developed for symbolic data. Various examples of data with simple to complex structures are brought in to illustrate the proposed methods.
關鍵字Symbolic data analysis; Interval-valued data; Matrix visualization; Generalized association plots; Proximity matrix; Exploratory data analysis; EDA
語言英文
ISSN0167-9473;1872-7352
期刊性質國外
收錄於SCI;
產學合作
通訊作者Chen, Chun-houh
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!