Clustering brain signals: a robust approach using functional data ranking
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Publication:2075715
DOI10.1007/s00357-020-09382-1OpenAlexW3102870072MaRDI QIDQ2075715
Ying Sun, Hernando Ombao, Tianbo Chen, Carolina Euán
Publication date: 15 February 2022
Published in: Journal of Classification (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.14078
Uses Software
Cites Work
- Wavelets-based clustering of multivariate time series
- The hierarchical spectral merger algorithm: a new time series clustering procedure
- A periodogram-based metric for time series classification
- A simple generalised crossvalidation method of span selection for periodogram smoothing
- Discriminant Analysis of Time Series in the Presence of Within-Group Spectral Variability
- Discrimination and Clustering for Multivariate Time Series
- Automatic Smoothing of the Log Periodogram
- Discriminant and cluster analysis for Gaussian stationary processes: local linear fitting approach
- Evolutionary State-Space Model and Its Application to Time-Frequency Analysis of Local Field Potentials
- On the Concept of Depth for Functional Data
- Tree-Structured Wavelet Estimation in a Mixed Effects Model for Spectra of Replicated Time Series
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