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STMotif (version 2.0.2)
Discovery of Motifs in Spatial-Time Series
Description
Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.
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Install
install.packages('STMotif')
Monthly Downloads
326
Version
2.0.2
License
MIT + file LICENSE
Issues
0
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0
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2
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Repository
https://github.com/heraldoborges/STMotif/wiki
Maintainer
Amin Bazaz
Last Published
February 23rd, 2024
Functions in STMotif (2.0.2)
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STSADatasetAdjust
Adjust a Dataset Adjust the dimensions of a dataset to build the blocks
CSAMiningProcess
CSAMiningProcess
SearchSTMotifs
SearchSTMotifs
display_motifsDataset
Plot a heatmap of the dataset and highlight the selected motifs from the list
display_motifsSTSeries
Plot the selected spatial-time series with the selected motifs highlighted
RankSTMotifs
Rank the STmotifs Rank motifs by their quality
STMotif
Package STMotif
NormSAX
Normalize the data and SAX indexing
example_dataset
Example of dataset