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A set of measures of dissimilarity between time series to perform time series clustering. Metrics based on raw data, on generating models and on the forecast behavior are implemented. Some additional utilities related to time series clustering are also provided, such as clustering algorithms and cluster evaluation metrics.
| Version: | 1.3.1 |
| Depends: | R (≥ 3.0.2), pdc, cluster |
| Imports: | locpol, KernSmooth, dtw, longitudinalData, forecast |
| Published: | 2020-07-22 |
| Author: | Pablo Montero Manso [cre], Jose Vilar Fernandez [aut] |
| Maintainer: | Pablo Montero Manso <pmontm at gmail.com> |
| License: | GPL-2 |
| URL: | http://www.jstatsoft.org/v62/i01/ |
| NeedsCompilation: | no |
| Citation: | TSclust citation info |
| Materials: | ChangeLog |
| In views: | TimeSeries |
| CRAN checks: | TSclust results |
| Reference manual: | TSclust.pdf |
| Package source: | TSclust_1.3.1.tar.gz |
| Windows binaries: | r-devel: TSclust_1.3.1.zip, r-release: TSclust_1.3.1.zip, r-oldrel: TSclust_1.3.1.zip |
| macOS binaries: | r-release (arm64): TSclust_1.3.1.tgz, r-oldrel (arm64): TSclust_1.3.1.tgz, r-release (x86_64): TSclust_1.3.1.tgz, r-oldrel (x86_64): TSclust_1.3.1.tgz |
| Old sources: | TSclust archive |
| Reverse imports: | mlmts, SLBDD, TSdist |
| Reverse suggests: | sephora |
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