Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage

Open-source Laplacian Eigenmaps for dimensionality reduction of large data in python. Comes with anwrapper for NMSlib to compute approximate-nearest-neighbors.Performs several times faster than the default scikit-learn implementation. You’ll need NMSlib for using this package properly. Installing it with no binaries is recommended if your CPU supportsadvanced instructions (it problably does): pip3 install –no-binary :all: nmslib # Along with requirements: pip3 install numpy pandas scipy scikit-learn Then you can install this package with pip: See the following example with the handwritten […]

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