Really not LSI but SVD (Singular Value Decomposition) was used.
In other words Matrix of NN_Profiles that consists of n documents in vector space with dimention d,
let it will be M [nxd], was replaced by left-singular matrix U from Singular Value Decomposition.
SVD of M can be defined as M = U*S*V'.
U [nxn] and V [dxd] are unitary matrices :
U'*U = n-by-n identity matrix
V'*V = d-by-d identity matrix.
S [nxd] - diagonal matrix of the same dimension as M with nonnegative diagonal elements in
decreasing order, which are called singular values.
Singular values are defined as nonnegative sqare roots of eigenvalues of M*M'.
Questions and comments send to Dimitrij Petoukhov.