This is a Python implementation of Locality Preserving Projections (LPP), compatible with scikit-learn.

This package is pure Python, and depends only on numpy, scipy, and scikit-learn. The released version can be installed via pip:

$ pip install lpproj

A basic example of its use can be found in Example.ipynb; the library follows scikit-learn's patterns for fit(), transform(), and fit_transform(). The simplest example for a feature matrix X:

from lpproj import LocalityPreservingProjection 
lpp = LocalityPreservingProjection(n_components=2)

X_2D = lpp.fit_transform(X)

For information on the LPP algorithm, see the paper, Locality Preserving Projections (pdf).