Metadata-Version: 1.1
Name: DtwSom
Version: 0.2.1
Summary: Implementation of the Dynamic Time Warping Self Organizing Maps (DTW-SOM)
Home-page: https://github.com/Kenan-Li/dtwsom
Author: Kenan Li
Author-email: kenanl@usc.edu
License: CC BY 3.0
Download-URL: https://github.com/Kenan-Li/dtwsom/archive/master.zip
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")
        
Keywords: self-organizing map,time series analysis,clustering,dimentionality reduction,dynamic time warping
Platform: UNKNOWN
