Work

cyclicwave: Cyclic Wave Analysis for Time-Series Clustering

Year: 2026

Type: dataset

Abstract: 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>.

DOI: 10.32614/cran.package.cyclicwave

Authors: Şule Şevval Karakaya, Ahmet Bursalı, Vilda Purutçuoğlu

Language: English

Topic: Time Series Analysis and Forecasting

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W7167281734

Cites: 2

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Related to: 10