A reusable framework to accelerate the development of visual analytics applications based on dimensionality reduction
To be able to visualize and analyze multidimensional data sets, the dimensions have to be reduced to two or three, by using dimensionality reducing (DR) methods. The problem is that there is no established foundation for building applications to handle data sets, DR and visualization and therefore t...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM)
2019
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-88625 |