Dis-function: Learning distance functions interactively

Visual Analytics Science and Technology, 2012, Pages 83-92.

Cited by: 136|Bibtex|Views9|DOI:https://doi.org/10.1109/VAST.2012.6400486
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Abstract:

The world's corpora of data grow in size and complexity every day, making it increasingly difficult for experts to make sense out of their data. Although machine learning offers algorithms for finding patterns in data automatically, they often require algorithm-specific parameters, such as an appropriate distance function, which are outsi...More

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