latent semantic analysis experiments
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lsa_prj
rbs_rewritten_in_c
real
site
tf_idf_prj
transpose_prj
.gitignore
A1
A2
A3
A4
README.textile
convert_dense_vector_space_to_sparse.rb
convert_from_svd_s_matrix_to_2d_matrix.rb
dense_matrix_to_arff.rb
generate_images_for_website.sh
make_symlinks.sh
matrix_to_csv_for_r.rb
multiply.rb
normalise.rb
number_of_features_given_input_matrix.rb
rc
render_graphs.R
tablify_for_html.rb
tf_idf_sparse.rb

README.textile

see project page at http://matpalm.com/lsa_via_svd

the rest of this page are my notes, continue reading at your own peril…

requirements
- SVDLIBC; svd library available from http://tedlab.mit.edu/~dr/SVDLIBC/
- transpose; diy transpose code written in c, code blocks project under transpose_prj (note could write a ruby one if required)
(see make_symlinks.sh for where these are expected to be made (ignore the tf_idf_prj one))
- R for generating some images

to generate graphs for the first few site pages;
(this have been superceeded by the ggobi screenshots)
bash> source rc
bash> generate_images_for_website.sh

to reproduce real examples
bash> source rc
bash> cd real
bash> ./run.sh

todos:
finish this readme and readme under real
add google analytics links