Multi Dementional Scaling - the process of taking shapshots
of documents in a database to discover topical clusters through the use
of latent semantic indexing. Multi dementional scaling is more efficient
than singular vector decomposition since only a rough approximation of
relevance is necissary when combined with other ranking criteria.
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