Neighbourhood components analysis
UNSUPERVISED LEARNING METHOD FOR CLASSIFICATION MULTIVARIATE DATA
Neighborhood components analysis
Neighbourhood components analysis is a supervised learning method for classifying multivariate data into distinct classes according to a given distance metric over the data. Functionally, it serves the same purposes as the K-nearest neighbors algorithm, and makes direct use of a related concept termed stochastic nearest neighbours.