Spherical Subfamily Models

  title={Spherical Subfamily Models},
  author={Alan Gous},
  • Alan Gous
  • Published 1999
A new method is presented for modeling low-dimensional representations of high-dimensional multinomial and compositional data. The data are t to subfamilies of the multinomial family which are deened using the multinomial information geometry. These collections of spherical subfamilies have a number of advantages over the aane subfamilies contructed by methods such as canonical and correspondence analysis, traditionally t to such data. First, they can describe more complex shapes in the data… CONTINUE READING
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