Dimensionality reduction:
Isomap
Locally Linear Embedding (LLE)
Maximum variance unfolding
Distance Metric Learning for Large Margin
Nearest Neighbor Classification
Nearest neighbor schemes:
Piotr Indyk's tutorial
Ken Clarkson's tutorial
Cover trees
Locality-Sensitive Hashing (LSH)
ANN: A Library for Approximate Nearest Neighbor Searching
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