Performs a latent class analysis on the binary weighted document term matrix using sparse matrix routines. See Latent Class Analysis.
Performs a partial singular value decomposition of the document term matrix. See Latent Semantic Analysis (SVD).
Predicts membership of each document in a group or category based on the document term matrix. See Discriminant Analysis.
Figure 12.10 shows the Singular Value Decomposition Specifications window. When you select options from the Text Explorer red triangle menu that perform a singular value decomposition on the document term matrix, the Specifications window appears with the following options:
The weighting scheme that determines the values that go into the cells of the document term matrix. The weighting scheme options are described in Document Term Matrix Specifications Window.
Options for centering and scaling of the document term matrix. You can choose between Centered and Scaled, Centered, and Uncentered. By default, the document term matrix is both centered and scaled.
Figure 12.10 SVD Specification Window