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

## Wednesday, April 2, 2008

Subscribe to:
Post Comments (Atom)

## No comments:

Post a Comment