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Segmentation Based On Turning Points

Project description

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)]

Project details


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Files for python-fastpip, version 1.2
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