文件列表:

python实现分段线性表示 (0, 2019-12-10)
python实现分段线性表示\example.py (1946, 2012-02-28)
python实现分段线性表示\example_data (0, 2019-12-10)
python实现分段线性表示\example_data\16265-normalecg.txt (192037, 2012-02-28)
python实现分段线性表示\fit.py (859, 2012-02-28)
python实现分段线性表示\segment.py (4832, 2012-02-28)
python实现分段线性表示\wrappers.py (498, 2012-02-28)
python实现分段线性表示\__pycache__ (0, 2019-12-10)
python实现分段线性表示\__pycache__\fit.cpython-37.pyc (1001, 2019-12-10)
python实现分段线性表示\__pycache__\segment.cpython-37.pyc (3956, 2019-12-10)
python实现分段线性表示\__pycache__\wrappers.cpython-37.pyc (728, 2019-12-10)

Simple Sequence Segmenting ========================== This repository contains Python code I wrote for segmenting 1-D time series. In other words, it can be used for transforming a time series into a piecewise linear represenation. The algorithms are Python implementations of the "classical" algorithms, as described in [An Online Algorithm for Segmenting Time Series][keogh], including: - the sliding window algorithm; - the top-down algorithm; and - the bottom-up algorithm. The code is *not* optimized for performance in any way, but I've found it useful for experimenting and data exploration. Requirements ------------ The segmenting algorithms use [NumPy's][numpy] least squares fitting routine, so naturally it depends on [NumPy][numpy]. Example ------- You can run the code to see example output by running the example.py script. The script requires [matplotlib][mpl] to display the plots. The example uses ECG data I found on an [ECG data site][ecg]. [keogh]: http://www.cs.ucr.edu/~eamonn/icdm-01.pdf "Keogh et al. An Online Algorithm for Segmenting Time Series" [numpy]: http://numpy.scipy.org "NumPy" [mpl]: http://matplotlib.sourceforge.net "Matplotlib" [ecg]: http://myweb.msoe.edu/~martynsc/signals/ecg/ecg.html "ECG Data"

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