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

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书目名称Handbook of Data Visualization影响因子(影响力)




书目名称Handbook of Data Visualization影响因子(影响力)学科排名




书目名称Handbook of Data Visualization网络公开度




书目名称Handbook of Data Visualization网络公开度学科排名




书目名称Handbook of Data Visualization被引频次




书目名称Handbook of Data Visualization被引频次学科排名




书目名称Handbook of Data Visualization年度引用




书目名称Handbook of Data Visualization年度引用学科排名




书目名称Handbook of Data Visualization读者反馈




书目名称Handbook of Data Visualization读者反馈学科排名

leniency

ATRIA

MAG

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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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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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.

狂热语言

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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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.

Urgency

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.