DocumentCode :
3108462
Title :
A new association analysis method for semantic differential data and its application to tone color analysis
Author :
Kato, Yuichi ; Saeki, Tetsuro
Author_Institution :
Dept. of Math. & Comput. Sci., Shimane Univ., Matsue
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
125
Lastpage :
130
Abstract :
Taking the factor analysis problem of tone color, this paper finds that a semantically inconsistent correlation may occur if conventional factor analysis is applied to the data rated by the semantic differential in order to construct the correlation matrix. This paper proposes a new association analysis between two variables not using the correlation, and constructs a new factor analysis on the new association. The validity and usefulness of the proposed method, and the differences between it and the conventional technique are presented and discussed by comparison.
Keywords :
data mining; psychology; association analysis method; correlation matrix; factor analysis problem; semantic differential data; tone color analysis; Application software; Area measurement; Colored noise; Computer science; Image color analysis; Image recognition; Information analysis; Mathematics; Random variables; Reactive power; Factor analysis; Interval scale; Ordinal scale; Semantic differential technique; Tone color;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location :
Singapore
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2383-5
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2008.4811262
Filename :
4811262
Link To Document :
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