Metadata-Version: 1.1
Name: python-fastpip
Version: 1.2
Summary: Segmentation Based On Turning Points
Home-page: https://github.com/intelie/python-fastpip
Author: Vitor M. A. da Cruz
Author-email: vitor.mazzi@intelie.com.br
License: Apache 2
Description: python-fastpip (Segmentation Based On Turning Points)
        =====================================================
        
        The “Perceptually Important Points” algorithm
        gives a method for dimensionality reduction and a mechanism to automatically extract
        the most important points from a human observer perspective, favouring compression and
        a good visualization of time series with high dimensionality.
        
        Example
        -------
        
        ::
        
            >>> from fastpip import pip
            >>> pip([(0, 0), (1, 1), (2, 2), (3, 1), (4, 0), (5, 1), (6, 2), (7, 1), (8, 0)], 5)
            [(0, 0), (2, 2), (4, 0), (6, 2), (8, 0)]
        
        
        References
        ----------
        - https://github.com/intelie/fastpip-js
        - http://www.academia.edu/1578716/Aplica%C3%A7%C3%A3o_do_algoritmo_Perceptually_Important_Points_em_s%C3%A9ries_temporais_de_datacenters
        - http://thescipub.com/PDF/jcssp.2010.1389.1395.pdf
        
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: License :: OSI Approved :: Apache Software License
