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Author Buntine, W. ♦ Perttu, S. ♦ Tuulos, V.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Real Data ♦ Relevance Estimation ♦ Ongoing Research ♦ Web Page ♦ Long History ♦ Recent Insight ♦ Discussion Paper ♦ Document Collection ♦ Discrete Pca ♦ Topic Model ♦ Discrete Data
Description Discrete PCA builds components for discrete data rather like PCA and ICA does for real data. The method has a long history and is most commonly used in genetics. Recent insights into the method are described here, and some examples of given of its use in automatically building a topic model for a document collection, and in its use as a tool for relevance estimation in search. The topic model can also be subsequently used in search. This discussion paper describes our ongoing research here.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2004-01-01
Publisher Institution IN WORKSHOP ON STATISTICAL APPROACHES TO WEB MINING, SAWM’04, 2004. AT ECML