• The Bulletin of The Korean Astronomical Society
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• v.41 no.2
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• pp.59.1-59.1
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• 2016

Blue Straggler Stars(BSS) affect their host star cluster in various parameters like color, dynamics, etc. For this reason, it is important to know how to relate BSS frequency and evolution of their host stellar system. To statistical study about global properties of open clusters as the environments of BSS formation, we use three catalogues - (1) two galactic open clusters catalogues including BSS candidate, (2) Milky Way Star Cluster (MWSC) survey data. Then, we compare with the data of two BSS catalogues for test of the result of Marchi et al. 2006. We also investigate the radial mass distribution in open cluster, because it is possible that changing the gradient of radial mass distribution cause increasing the BSS frequency. When we group the open cluster into having BSS or not and other criteria, the groups show slight discrepancies, but we show some important results.

• Journal of the Korean Society of Clothing and Textiles
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• v.17 no.4
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• pp.602-607
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• 1993

Concept of the comfort and fitness becomes a major concern in the basic function of the ready-made clothes. This research was performed to classify and characterize Korean adult males anthropometrically. Sample size was 1290 subjects and their age range was from 19 to 54 years old. Sampling was carried out by the stratified sampling method. 75 variables in total were applied to classify the bodytypes. Data were analyzed by the multivariate method, especially factor and cluster analysis. The high factor loading items extracted by factor analysis were based to determine the variables of the cluster analysis for the similar bodytypes respectively. In the part of the lower body, 14 variables from the data were applied to classify the bodytypes of lower part by Ward's minimum variance method. The group fanning a cluster were subdivided into 5 sets by cross-tabulation extracted by the hierarchical cluster analysis. Type 3 and 4 in lower body were composed of the majority of 53.1% of the subjects. The Korean adult males had relatively well-balanced in lower body.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.2
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• pp.373-389
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• 1996

The purpose of this study was to classify the somatotype based on the side view and to analyze the characteristics of each somatotype. The subjects were 201 middle-aged women aged from 35 to 54. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis, analysis of variance, and discriminant analysis. As the result of factor analysis for the classification of somatotypes, 6 factors which explain 80.8% of variance were extracted from 35 photometric measurement. Using factor scores cluster analysis was carried out and the subjects were classified into 4 cluster Each cluster was classified as straight type, turning over type, bending type and swayback according to its position to the relative plumb line and their side view contour. And 4 somatotypes were analyzed by theirs direct anthropometric and indirect Photometric measurment to represent physical characteristics of each group.

• Bulletin of the Korean Chemical Society
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• v.14 no.1
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• pp.63-71
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• 1993

By use of cluster orbitals, analytic solutions of finite face-centered cubic clusters are obtained. Taking interactions between up to the second nearest neighbors into account, the forms of all the elements of the Hamiltonian matrix are found explicitly within Huckel approximation. By adopting $D_{2k}$ point group to the cluster, the matrix is simplified. We assume that the cluster orbitals can mix together only when their state indices are indentical. It is then possible to calculate various physical properties of face-centered cubic metal clusters and example are shown for palladium clusters. The results show that density of states and projected density of states are similar, qualitatively, with those obtained by extended Huckel calculation.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.61.1-61.1
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• 2020

We examine the HI gas kinematics and distribution of galaxy pairs in group or cluster environment from high-resolution Australian Square Kilometre Array Pathfinder (ASKAP) WALLABY pilot observations. We use 22 well-resolved galaxies in the Hydra cluster of which 4 galaxies are visually identified as pairs and others are isolated ones. We perform profile decomposition of HI velocity profiles of the galaxies using a new tool, BAYGAUD which enables us to separate a line-of-sight velocity profile into an optimal number of Gaussian components based on Bayesian MCMC techniques. All the HI velocity profiles of the galaxies are decomposed into kinematically cold or warm gas components with their velocity dispersion, 4~8 km/s or > 8 km/s, respectively. We derive the mass fraction of the kinematically cold gas with respect to the total HI gas mass, f = log10(M_cold / M_HI), of the galaxies and correlate them with their dynamical mass. The cold gas reservoir of the paired galaxies in the Hydra cluster is found to be relatively higher than that of the isolated ones which show a negative correlation with the dynamical mass in general.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.3
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• pp.79-99
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• 2020

The purpose of this study is to investigate the model of cluster analysis techniques for grouping public libraries and analyze their characteristics. Statistical data of public libraries of the National Library Statistics System were used, and three models of cluster analysis were applied. As a result of the study, cluster analysis was conducted based on the size of public libraries, and it was largely divided into two clusters. The size of the cluster was largely skewed to one side. For grouping based on size, the ward method of hierarchical cluster analysis and the k-means cluster analysis model were suitable. Three suggestions were presented as implications of the grouping method of public libraries. First, it is necessary to collect library service-related data in addition to statistical data. Second, an analysis model suitable for the data set to be analyzed must be applied. Third, it is necessary to study the possibility of using cluster analysis techniques in various fields other than library grouping.

• Proceedings of the Korean Society of Potoscience Conference
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• spring
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• pp.40-40
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• 2004

• Korean Journal of Human Ecology
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• v.17 no.1
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• pp.81-93
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• 2008

Female college consumers are orientated toward vanity and fashion luxury products in consumer society. The purpose of this paper was to investigate the relationship of vanity type and attitude toward fashion luxury products. The data were collected from 517 female college students in Ulsan, Pusan, and Kimhai. For data analysis, descriptive statistics, factor analysis, cluster analysis, and MCA were used. Results of cluster analysis identified the vanity type of the female college students into non-vanity group, positive viewer, and vanity group. Above two third of the total sample were the vanity group and the positive viewer. The non-vanity group, was comprised the smallest proportion of female college students. Attitude toward fashion luxury products was classified into four factors; involvement for fashion luxury, superiority of the fashion luxury, hedonic and conspicious consumption, and negative response. The attitude toward fashion luxury products was significantly different across the 3 vanity type. The results of this study provide insights into female college consumers' increasing demands toward fashion luxury brands. Consumer education should be implemented for the vanity group, and personal financial management education program is needed in liberal arts curriculum.

• Journal of the Korean Home Economics Association
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• v.33 no.4
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• pp.315-327
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• 1995

The objective of this study were to classify the contents of clothing purchase motives and to examine the differences in post-purchase dissatisfaction and satisfaction of clothing according to the clothing purchase motives. Questionnaire was comprised of 36 Likert type items of clothing purchase motive measure, 15 items of post-purchase clothing dissatisfaction measure, and 1 item of satisfaction measures. Samples were 492 women in Incheon, Korean ; 279 were college students and 213 were housewives. The data were analyzed using factor analysis, cluster analysis, one-way ANOVA, Duncan's multiple range test, and χ2-test. The results of the study were the followings : 1. Subjects perceived 'becomingness' to be the most important motive, 'attractiveness of color' the second important, and 'salesperson's recommendation' the least. 2. 6 factors of clothing purchase motives were derived by factor analysis : F.1 'clothing utility and deficiency' ; F.2 'clothing quality' ; F.3 'financial frugality'. 3. Subjects were classified into the three motive groups by cluster analysis of the 6 factors : G.1 'the clothing appearance and others' influence' ; G.2 'the clothing quality and deficiency' ; G.3 'the motiveless'. 4. More college women were distributed in clothing appearance and others' influence group than housewives, while more housewives were distributed in clothing quality and deficiency group. 5. The clothing appearance and others' influence group expressed the highest post-purchase dissatisfaction and the lowest post-purchase satisfaction. The clothing quality and deficiency group expressed the highest post-purchase satisfaction, and the motiveless group expressed the lowest post-purchase dissatisfaction.

• The Research Journal of the Costume Culture
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• v.13 no.1
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• pp.161-173
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• 2005

The Main objective of this study was to investigate the relationship between shopping orientations and Knit wear Buying Behavior of female college students in the U.S. age 18 to 33. The questionnaires for this survey were developed to measure knitwear purchasing behavior, including sources of information about knitwear, evaluative criteria of knit wear product, attributes f store preference for knitwear, and shopping orientation. The questionnaire was administered to 119 female college students in the University of California. The data was analyzed by percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The female college students were classified into five subdivisions by cluster analysis; cautious shopping group, recreational shopping group, self-confident shopping group, shopping indifferent group, price conscious shopping group. In the case of fashion information sources of knit wear, significant differences were found according to shopping orientation subdivision in observation of others' and famous people's clothing, fashion shows, fashion articles in magazines, newspapers, and on the Internet, and shop displays. The evaluation criteria of knit wear product were significantly different depending on shopping orientation subdivision in fashionable, brand and store name, appropriate for different occasion, prestige. The store attributes of knitwear were significantly different depending on shopping orientation subdivision in product knowledge of sales personnel, store atmosphere, display of merchandise, layaway payment plan, price level, ease of parking and access, and new fashion.