Principal Components Analysis for Binary Data
Principal components analysis (PCA) has been widely used as a statistical tool for the dimension reduction of multivariate data in various application areas and extensively studied in the long history of statistics. One of the limitations of PCA machinery is that PCA can be applied only to the conti...
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| Format: | Others |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-602 |