  The clustering of text documents in the vector space of semantic fields and
in the semantic space with orthogonal basis has been analysed. It is shown that
using the vector space model with the basis of semantic fields is effective in
the cluster analysis algorithms of author's texts in English fiction. The
analysis of the author's texts distribution in cluster structure showed the
presence of the areas of semantic space that represent the author's ideolects
of individual authors. SVD factorization of the semantic fields matrix makes it
possible to reduce significantly the dimension of the semantic space in the
cluster analysis of author's texts.
