Cyclic Wave Analysis for Time-Series Clustering
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-07-04
Documentation
- Help pages
- 38
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 6%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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Dependencies
Code & Tests
Datasets
People & History
- 0.1.0Latest2026-07-03 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-03
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 417 KB / 2 files
- Download size
- 439 KB
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