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Improvements on the KNN classifier
MSc Post-Graduation

The K-Nearest Neighbor algorithm (K-NN) is a method for classifying objects based on closest training examples in the feature space. Though a simple machine learning algorithm, its performance can be very slow due to its lazy-learning nature and the classification precision can be low in some cases, by comparison to other classifier algorithms.

Start Date: 2012-09-12

End Date: 2013-11-04

Post-Graduation Student / Researcher / Professor:
  • Ricardo Mestre ( DI-FCT-UNL )

Post-Graduation Supervisor(s):
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