A modular toolkit for feature extraction and density-based clustering of time-series data. It provides classical statistical, discrete wavelet, Hilbert-based phase, and circular statistical features. The Hilbert-based phase representation can support the analysis of periodic patterns, phase relationships, and circular behavior in time-series data. The package supports DBSCAN and OPTICS clustering, cluster evaluation, visualization, data preparation, and comparison of multiple feature extraction and clustering combinations. Methods are described in Karakaya and Purutcuoglu (2026) <doi:10.15672/hujms.1821412> and Karakaya et al. (2026) <doi:10.1007/978-3-032-17020-0_27>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, utils, dbscan, gsignal, waveslim, MASS, e1071, ggplot2 |
| Suggests: | FNN, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-07-03 |
| DOI: | 10.32614/CRAN.package.cyclicwave (may not be active yet) |
| Author: | Şule Şevval Karakaya [aut, cre], Ahmet Bursalı [aut], Vilda Purutçuoğlu [aut] |
| Maintainer: | Şule Şevval Karakaya <sule.karakaya at metu.edu.tr> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | cyclicwave results |
| Reference manual: | cyclicwave.html , cyclicwave.pdf |
| Vignettes: |
Comparing Feature Engineering Approaches (source, R code) Getting Started with cyclicwave (source, R code) |
| Package source: | cyclicwave_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): cyclicwave_0.1.0.tgz, r-oldrel (arm64): cyclicwave_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): cyclicwave_0.1.0.tgz |
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