Unlike PCA, which assumes that the data components are orthogonally distributed, ICA assumes that the components are ________.

  • Independent
  • Correlated
  • Uncorrelated
  • Randomly Distributed
ICA (Independent Component Analysis) assumes that the components are independent of each other, not necessarily orthogonal, which is different from PCA. PCA assumes orthogonality, but ICA allows for any type of independence.
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