LSA - Applies the Latent Semantic Analysis Model to a 
  document collection
    [SC, DOCS_INDS] = LSA(D, P, Q, NORMALIZE_DOCS) applies 
    LSA to the text collection represented by the latent 
    semantic factors D, P of the collection's term - document 
    matrix, for the query defined by the vector Q [1]. 
    NORMALIZE_DOCS defines if the document vectors are to be 
    normalized (1) or not (0). SC contains the sorted 
    similarity coefficients, while DOC_INDS contains the 
    corresponding document indices.
 
    REFERENCES: 
    [1] M.Berry and M.Browne, Understanding Search Engines, 
    Mathematical Modeling and Text Retrieval, Philadelphia, 
    PA: Society for Industrial and Applied Mathematics, 1999.
 
  Copyright 2011 Dimitrios Zeimpekis, Eugenia Maria Kontopoulou, 
                 Efstratios Gallopoulos