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Titlebook: Handbook of Data Visualization; Chun-houh Chen,Wolfgang H?rdle,Antony Unwin Book 2008 Springer-Verlag Berlin Heidelberg 2008 Analysis.Clus

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發(fā)表于 2025-3-21 18:55:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Handbook of Data Visualization
編輯Chun-houh Chen,Wolfgang H?rdle,Antony Unwin
視頻videohttp://file.papertrans.cn/422/421135/421135.mp4
概述Complete overview of data visualization.Comprehensive coverage of the field, both in theory and practice.Includes supplementary material:
叢書(shū)名稱Springer Handbooks of Computational Statistics
圖書(shū)封面Titlebook: Handbook of Data Visualization;  Chun-houh Chen,Wolfgang H?rdle,Antony Unwin Book 2008 Springer-Verlag Berlin Heidelberg 2008 Analysis.Clus
描述Antony Unwin, Chun-houh Chen, Wolfgang K. H?rdle 1. 1 Computational Statistics and Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Data Visualization and Theory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Presentation and Exploratory Graphics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Graphics and Computing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1. 2 The Chapters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Summary and Overview; Part II. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Summary and Overview; Part III. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 Summary and Overview; Part IV . . . . . . . . . . . . .
出版日期Book 2008
關(guān)鍵詞Analysis; Cluster analysis; Fitting; Java; Projection pursuit; XML; best fit; computer; data analysis; multid
版次1
doihttps://doi.org/10.1007/978-3-540-33037-0
isbn_softcover978-3-662-50074-3
isbn_ebook978-3-540-33037-0Series ISSN 2197-9790 Series E-ISSN 2197-9804
issn_series 2197-9790
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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地板
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Visualizing Trees and Forestsquently used tree-basedmodels are classification, regression, and survival trees. Visualization is important in conjunction with treemodels because in their graphical formthey are easily interpretable even without special knowledge. Interpretation of decision trees displayed as a hierarchy of decision rules is highly intuitive.
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發(fā)表于 2025-3-22 10:24:01 | 只看該作者
https://doi.org/10.1007/978-3-662-42551-0r of sources. Examples of new technologies giving rise to large, high-dimensional data sets are high-throughput genomic and proteomic technologies, sensor-based monitoring systems, etc. Finally, new application areas such as biochemical pathways, web documents, etc. produce data with inherent . that cannot be simply captured by numbers.
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發(fā)表于 2025-3-22 15:38:18 | 只看該作者
Unsere Hoffnungen, unsere Zukunftnts as the markers in a scatterplot, the bars of a histogram, or even an entire line plot. However, a narrower definition would not be sufficient to capture the wide range of data visualization techniques that have been developed over the centuries that are termed glyphs.
7#
發(fā)表于 2025-3-22 17:49:11 | 只看該作者
https://doi.org/10.1007/978-3-663-05509-9 a 2-D coordinate system by using a datareductionmethod such as principal component analysis, projection pursuit, multidimensional scaling, or correspondence analysis. .3. Use a nonorthogonal coordinate system such as parallel coordinates which is less restricted by the two-dimensionality of paper. .4. Link low-dimensional displays.
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發(fā)表于 2025-3-22 23:38:07 | 只看該作者
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發(fā)表于 2025-3-23 05:09:08 | 只看該作者
Multivariate Data Glyphs: Principles and Practicents as the markers in a scatterplot, the bars of a histogram, or even an entire line plot. However, a narrower definition would not be sufficient to capture the wide range of data visualization techniques that have been developed over the centuries that are termed glyphs.
10#
發(fā)表于 2025-3-23 06:15:33 | 只看該作者
Linked Views for Visual Exploration a 2-D coordinate system by using a datareductionmethod such as principal component analysis, projection pursuit, multidimensional scaling, or correspondence analysis. .3. Use a nonorthogonal coordinate system such as parallel coordinates which is less restricted by the two-dimensionality of paper. .4. Link low-dimensional displays.
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