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  "Title": "Cyclic Wave Analysis for Time-Series Clustering",
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  "Description": "A modular toolkit for feature extraction and density-based\nclustering of time-series data. It provides classical\nstatistical, discrete wavelet, Hilbert-based phase, and\ncircular statistical features. The Hilbert-based phase\nrepresentation can support the analysis of periodic patterns,\nphase relationships, and circular behavior in time-series data.\nThe package supports DBSCAN and OPTICS clustering, cluster\nevaluation, visualization, data preparation, and comparison of\nmultiple feature extraction and clustering combinations.\nMethods are described in Karakaya and Purutcuoglu (2026)\n<doi:10.15672/hujms.1821412> and Karakaya et al. (2026)\n<doi:10.1007/978-3-032-17020-0_27>.",
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