JOURNAL of the JAPAN RESEARCH ASSOCIATION for TEXTILE END-USES
Online ISSN : 1884-6599
Print ISSN : 0037-2072
ISSN-L : 0037-2072
Statistical Study on the Preference of Clothings
Part 4: Classification of Clothings by Cluster Analysis and Contribution to Visual Impression of Clothing Factors
Seiichiro Ueno
Author information
JOURNAL FREE ACCESS

1980 Volume 21 Issue 7 Pages 301-307

Details
Abstract
Clothings (combination of upper garments and skirts) worn by women in streets have been photographed in 1975-1976 and classified into several patterns by a cluster analysis. One typical clothing has been selected from each pattern. These typical clothings have been represented by the item and category. The item, category and scores of the image of the clothing have been analyzed by the quantification theory. type 1, to obtain the numerical value of clothing category contributing to the visual image. The item and category of a clothing contributing to the visual image have shown the visual image of the clothing remarkably differ from season to season. This is due to the different degree of contribution to the image for each factor of clothing. Moreover, a possibility has been found to estimate the image of any given clothing using a category weight obtained by this analysis.
Content from these authors
© the japanresearch association for textile end-uses
Previous article Next article
feedback
Top