Neighborhood Component Analysis
Neighborhood Component 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 neighbors
Resources
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