https://github.com/robertanto/kernelisomap

https://github.com/robertanto/kernelisomap

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• Host: GitHub
• URL: https://github.com/robertanto/kernelisomap
• Owner: robertanto
• License: gpl-3.0
• Created: 2019-02-14T15:31:50.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-02-14T16:28:31.000Z (almost 6 years ago)
• Last Synced: 2024-11-11T06:05:44.876Z (about 2 months ago)
• Language: Python
• Size: 18.6 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Kernel ISOMAP

An RBF-Kernelized version of ISOMAP (Isometric Mapping). A description of the algorithm can be found [here](https://scikit-learn.org/stable/modules/manifold.html#isomap).

## Prerequisites

* [NumPy](http://www.numpy.org/) - NumPy is the fundamental package for scientific computing with Python.

* [scikit-learn](https://scikit-learn.org/stable/) - Machine Learning in Python

### Python

The code is compatible with python 3.x .

## Example

```

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)

```

## Author

**Antonio Roberto** - [Linkedin](https://www.linkedin.com/in/antonio-roberto-1b288b120/)

## License

This project is licensed under the GNU GENERAL PUBLIC LICENSE - see the [LICENSE.md](https://github.com/antonioroberto1994/KernelISOMAP/blob/master/LICENSE) file for details