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Equivalence of modified k-means and tensor decomposition in EEG microstates: Implications for analysis and interpretation
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DOI：10.1016/j.neuroimage.2026.121962.png)
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Abstract
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• The modified k-means algorithm is a standard tool for EEG microstate detection. • Modified k-means is equivalent to the tensor model Implicit Slice Canonical Decomposition. • This link is demonstrated both theoretically and on simulated and real EEG data. • Tensor decomposition may offer new insights into EEG microstate analysis.
Keywords:
Electroencephalogram EEG
EEG microstates
Modified k-means
Tensor decomposition
Parallel factor analysis
Implicit slice canonical decomposition
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