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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/.

License

About

🔴 dtwsom is forked from minisom, and implements uni-variate and multi-variate dynamic time warping self-organizing map

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