Classification via distance profile nearest neighbors
Most classification rules can be expressed in terms of a distance (or dissimilarity) from the point to be classified to each of the candidate classes. For example, linear discriminant analysis classifies points into the class for which the (sample) Mahalanobis distance is smallest. However, depende...
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Digital WPI
2006
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| Online Access: | https://digitalcommons.wpi.edu/etd-theses/703 https://digitalcommons.wpi.edu/cgi/viewcontent.cgi?article=1702&context=etd-theses |