Data Mining - Analysis White Papers
Visual Data Mining With Pixel-Oriented Visualization Techniques
Overview Pixel-oriented visualization techniques map each attribute value of the data to a single colored pixel, yielding the display of the most possible information at a time. Thus pixel-oriented techniques maintain the global view of large amounts of data while still preserving the perception of small regions of interest. This property makes them suitable for a variety of data mining tasks. First the paper presents pixel-oriented visualization techniques which can be used as stand-alone exploration tools. Then the paper shows how they can be tightly integrated into data mining methods unifying the strength of existing algorithms and human involvement. Finally, it points out the idea of similarity clustering of attributes to enhance multidimensional visualization techniques.
| Publisher | Boeing | File Format | |
|---|---|---|---|
| Date Published | July 2001 | ||
| Format | White Papers | ||
| Topics | |||
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