Since the goal of this paper is not dimensionality reduction, the dimensionality of the new document representation is the same as the source document representation.
the size of P is d × d. This paper proposes to learn P by minimizing the following intra-topic variability where w ij is the i-th row and j-th column element of a weighting matrix W created in this work.