Abstract
Due to the rapid development of information technology in recent years, it is common to encounter enormousamounts of data collected fromdiverse sources.This has led to a great demand for innovative analytic tools that can handle the kinds of complex data sets that cannot be tackled using traditional statistical methods. Modern data visualization techniques face a similar situation and must also provide adequate solutions.
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Chang, Yc., Lee, YJ., Pao, HK., Lee, MH., Huang, SY. (2008). Data Visualization via Kernel Machines. In: Handbook of Data Visualization. Springer Handbooks Comp.Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-33037-0_21
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DOI: https://doi.org/10.1007/978-3-540-33037-0_21
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