PyNeRV
A Python wrapper of the dimensionality reduction algorithm Neighbor Retrieval Visualizer (NeRV)
Compile
Set up the paths in Makefile
then make
.
Usage example
import numpy as np
import matplotlib.pyplot as plt
from nerv import NeRV
data = np.genfromtxt('dredviz-1.0.2/spheredata.dat', skip_header=1)
color = np.genfromtxt('dredviz-1.0.2/spheredata.col', skip_header=1)
nerv_obj = NeRV(random_state=0)
nerv_obj.fit(data)
print('Final cost = %g' % nerv_obj.cost_)
plt.scatter(*nerv_obj.embedding_.T, c=color)
plt.show()
which shows (right)
Reference
@article{venna2010information,
title={Information retrieval perspective to nonlinear dimensionality reduction for data visualization},
author={Venna, Jarkko and Peltonen, Jaakko and Nybo, Kristian and Aidos, Helena and Kaski, Samuel},
journal={Journal of Machine Learning Research},
volume={11},
number={Feb},
pages={451--490},
year={2010}
}