An RBF-Kernelized version of ISOMAP (Isometric Mapping). A description of the algorithm can be found here.
- NumPy - NumPy is the fundamental package for scientific computing with Python.
- scikit-learn - Machine Learning in Python
The code is compatible with python 3.x .
from sklearn.datasets import load_digits
from kernel_isomap import *
if __name__ == '__main__':
digits = load_digits(n_class=6)
X = digits.data
X_embedded = KernelIsomap(n_jobs=-1).fit_transform(X)
print(X_embedded.shape)
Antonio Roberto - Linkedin
This project is licensed under the GNU GENERAL PUBLIC LICENSE - see the LICENSE.md file for details