Implementation of the Dynamic Time Warping Self Organizing Maps (DTW-SOM)
Project description
# DtwSom
## Dynamic Time Warping Self Organizing Map
DtwSom is a python implementation of Dynamic Time Warping Self Organizing Map (DTW-SOM).DTW-SOM substitutes the original SOM distance measurement to dynamic time warping distance, moreover it uses the dynamic time warping alignment in training other than the original element-wise alignment. These changes will allow DTW-SOM to outperform SOM in time series clustering. A multi-variate DTW-SOM has also been developed.
## Installation
Just use pip:
pip install dtwsom
or download DtwSom to a directory of your choice and use the setup script:
git clone https://github.com/Kenan-Li/dtwsom.git python setup.py install
## Compatibility notes
DtwSom has been tested under Python 3.6.4.
## License
DtwSom by Kenan Li is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit [http://creativecommons.org/licenses/by/3.0/](http://creativecommons.org/licenses/by/3.0/ “http://creativecommons.org/licenses/by/3.0/”).
![License]( http://i.creativecommons.org/l/by/3.0/88x31.png “Creative Commons Attribution 3.0 Unported License”)
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