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  • docs/widgets/rst/visualize/radviz.rst

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    3434 
    35 Radviz ([Hoffman1997]_) is a neat non-linear multi-dimensional visualization 
     35Radviz ([1]_) is a neat non-linear multi-dimensional visualization 
    3636technique that can display data on three or more attributes in a 2-dimensional 
    3737projection. The visualized attributes are presented as anchor points equally 
     
    4747 
    4848The snapshot shown below shows a Radviz widget with a visualization of the 
    49 data set from functional genomics ([Brown2000]_). In this particular 
     49data set from functional genomics ([2]_). In this particular 
    5050visualization the data instances are colored according to the corresponding 
    5151class, and the visualization space is colored according to the computed class 
     
    6464"spo mid") is quite characteristic for instance of class Ribo, which at the 
    6565same time have comparable lower value of other attributes. High values of 
    66 heat 20 and diau f are characteristic for Resp class. See [Leban2006]_ and 
    67 [Mramor2007]_ for further illustrations of utility of Radviz in analysis of 
     66heat 20 and diau f are characteristic for Resp class. See [3]_ and 
     67[5]_ for further illustrations of utility of Radviz in analysis of 
    6868this and similar data set from functional genomics. Other options in the 
    6969:obj:`Settings` tab are quite standard. The :obj:`Point size` controls the size 
     
    8686 
    8787Just like all point-based visualizations, this widget includes tools for 
    88 intelligent data visualization (VizRank and FreeViz, see [Leban2006]_) and 
    89 [Demsar2007]_) and interface for explorative data analysis - selection of data 
     88intelligent data visualization (VizRank and FreeViz, see [3]_) and 
     89[4]_) and interface for explorative data analysis - selection of data 
    9090points in visualization. Just like in :ref:`Scatter Plot` widget, intelligent 
    9191visualization can be used to find a set of attributes that would result in an 
     
    103103---------- 
    104104 
    105 .. [Hoffman1997] Hoffman,P.E. et al. (1997) DNA visual and analytic data mining. 
     105.. [1] Hoffman,P.E. et al. (1997) DNA visual and analytic data mining. 
    106106   In the Proceedings of the IEEE Visualization. Phoenix, AZ, pp. 437-441. 
    107107 
    108 .. [Brown2000] Brown, M. P., W. N. Grundy, et al. (2000). 
     108.. [2] Brown, M. P., W. N. Grundy, et al. (2000). 
    109109   "Knowledge-based analysis of microarray gene expression data by using 
    110110   support vector machines." Proc Natl Acad Sci U S A 97(1): 262-7. 
    111111 
    112 .. [Leban2006] Leban, G., B. Zupan, et al. (2006). "VizRank: Data Visualization 
     112.. [3] Leban, G., B. Zupan, et al. (2006). "VizRank: Data Visualization 
    113113   Guided by Machine Learning." Data Mining and Knowledge Discovery 13(2): 
    114114   119-136. 
    115115 
    116 .. [Demsar2007] Demsar J, Leban G, Zupan B. FreeViz-An intelligent multivariate 
     116.. [4] Demsar J, Leban G, Zupan B. FreeViz-An intelligent multivariate 
    117117   visualization approach to explorative analysis of biomedical data. J Biomed 
    118118   Inform 40(6):661-71, 2007. 
    119119 
    120 .. [Mramor2007] Mramor M, Leban G, Demsar J, Zupan B. Visualization-based 
     120.. [5] Mramor M, Leban G, Demsar J, Zupan B. Visualization-based 
    121121   cancer microarray data classification analysis. Bioinformatics 23(16): 
    122122   2147-2154, 2007. 
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