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Analysis Tslearn
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Clustering using tslearn for Time Series Data.
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sample codes using tslearn.
Purpose: clustering for waveform data or time series data.
tslearn is one of the Machine Learning libraries based on python.
tslearn:
https://github.com/rtavenar/tslearn
description
Waveform clustering is performed on the sample data using the KShape algorithm.
The number of clusters must be given as an argument to the algorithm.
In this case, we set
n_clusters=2
since we know that there are two classes after checking the data in advance.
There are several ways to check the number of clusters, but in this case the elbow method was used.
Other possible methods are
BIC・AIC
GAP method
Silhouette method
Elbow method
directory
data/
: sample dataset for clustering waveform
notebook/
: jupyter notebook implementing tslearn sample code
Open Source Agenda is not affiliated with "Analysis Tslearn" Project. README Source:
masatakashiwagi/analysis-tslearn
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48
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1
Last Commit
1 year ago
Repository
masatakashiwagi/analysis-tslearn
Tags
Kshape
Machine Learning
Python
Time Series Analysis
Time Series Clustering
Tslearn
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