This article considers high-order measures of independence for the independ
ent component analysis problem and discusses the class of Jacobi algorithms
for their optimization. Several implementations are discussed. We compare
the proposed approaches with gradient-based techniques from the algorithmic
point of view and also on a set of biomedical data.