DocumentCode
3304961
Title
Parallel factoring of strata
Author
Bolla, Marianna
Author_Institution
Inst. of Math., Budapest Univ. of Technol. & Econ., Hungary
fYear
2001
fDate
19-22 June 2001
Firstpage
259
Abstract
A method for compromise factor extraction from covariance/correlation matrices corresponding to different strata is introduced. Compromise factors are independent and on this constraint they explain the largest possible part of the variables´ total variance over the strata. Binary samples are also investigated. The so-called compromise representation of the strata is introduced. A practical application for parallel factoring of medical data in different strata is also presented.
Keywords
covariance matrices; data analysis; medical computing; normal distribution; binary samples; compromise factor extraction; correlation matrices; covariance matrices; medical data; normal distribution; strata parallel factoring; Artificial intelligence; Covariance matrix; Data mining; Data structures; Information technology; Laplace equations; Mathematics; Medical services; Stochastic processes; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Interfaces, 2001. ITI 2001. Proceedings of the 23rd International Conference on
ISSN
1330-1012
Print_ISBN
953-96769-3-2
Type
conf
DOI
10.1109/ITI.2001.938028
Filename
938028
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