Hierarchical Extraction of Independent Subspaces of Unknown Dimensions

  title={Hierarchical Extraction of Independent Subspaces of Unknown Dimensions},
  author={Peter Gruber and Harold W. Gutch and Fabian J. Theis},
Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of its components mutually independent. A recently proposed fixed-point algorithm is able to locally perform ISA if the sizes of the subspaces are known, however global convergence is a serious problem as the proposed cost function has additional local minima. We introduce an extension to this algorithm, based on the idea that the… CONTINUE READING


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