• Journal of Fashion Business
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• v.18 no.4
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• pp.97-113
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• 2014

This study investigates consumer's traits of market segmentation based on the apparel benefits. The subjects were 302 college students living in Yunnam, China. The mean, ANOVA, factor analysis, Duncan test, and K-means cluster analysis were used for statisticals analysis. The results of this study are as follows. The college students were classified, into six subdivisions, according to the apparel benefits by cluster analysis: indifference group, utility pursuit group, hedonic/brand pursuit group, individuality pursuit group, social recognition/fashion pursuit group, and pursuit benefits-minded group. In the factors of happiness-pursuing and life-centered of materialism, significant differences were found according to the groups of apparel benefits, and all factors of symbolic consumption and brand loyalty were found to have significant differences according to the groups of apparel benefits. The evaluation criteria of clothing were significantly different, depending on apparel benefits subdivision in criteria of aesthetic, socio-psychological, and utility. The use of information was shown to have significant differences, according to the groups of apparel benefits. The study results are highly expected to be utilized as useful sources in marketing plans for the midwest of China.

• Journal of Korean Society of Rural Planning
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• v.20 no.3
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• pp.45-53
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• 2014

This study classifies the types of visitors to experiential fishing villages and analyses the features and target marketing strategies by categorical groups. Seven factors are extracted by Factor Analysis and the results of Cluster Analysis indicate the classification of five groups. The first group puts emphasis on the family connection, so family centered facilities and programs are necessary. The second group is composed of surrounding area residents whose purpose of visit is unclear. So environmentally friendly village development programs to encourage local patriotism are necessary. The third group puts emphasis on the necessary facilities and programs for experiencing the fishing village and traditional play, etc. The fourth group emphasizes programs related with the region and the means to satisfy visitor's aesthetic desires. Finally, the fifth group aims at various desires that are generally felt in experiential fishing villages. So this group requires marketing strategies from the public point of view. The existing research mostly surveys rural tourism villages, but this study highlights the difference in dealing with fishing villages as opposed to rural villages, from the perspective of industry and settlement.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.1
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• pp.3-14
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• 2000

The purpose of this study were 1) to segment 20's female apparel market using consumer's fashion image preference in formal wear, and 2) to identify the group differences in seasonal color (hue and tone) and color image (image associate with lightness and chroma) preference as well as in demographic variables. The subjects were 253 females in their late twenties living in Seoul, Korea. The data were collected using self-administred questionnaires and analyzed by factor analysis. Cluster analysis, $\chi$2 -test, one-way ANOVA, and Duncan test. The results of this study were as follows: 1) Four fashion image groups were identified through cluster analysis using consumer's fashion image preference: Elegant image group, Sexy image group, Lively image group, and Romantic image group. 2) There were significant differences among fashion image groups in hue preference for spring clothes, tone preferences for spring and fall clothes. Color images are associated with lightness for spring and summer, and are associated with chroma for spring, summer, and fall. Group differences in demographic variables were found in socio-economic status and average expenditure for formal jacket.

• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.73-80
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• 2003

The purpose of this study is to demonstrate the actual somatotype and perceptual somatotype, and to compare actual somaotype with ideal somatotype, and to explore segmentation based on perception of slim/obese somatotype. The respondents included 201 female student volunteers, aged 19 to 27, who were enrolled at university in Busan. Data were analyzed by paired t-test, correlation analysis, cluster analysis, and ANOVA. The results were as follows; The subjects tended to be satisfied with long and slim, slim limbs, and preferred to be tall in height and light in weight. And perceptual somatotype was related to satisfaction of somatotype. Cluster analysis was female college students to identify groups of respondents based on the perception of somatotype(all the body, the upper half of the body, the lower half of the body)difference factors. Based on the finding, three distinct groups were formed: slim tendency group, moderators tendency group, obese tendency group. There were a significant among slim tendency group, moderators tendency group, and obese tendency group base on the perceptual somatotype. There were significant differences among the three groups in terms of perception of somatotype and satisfaction of somatotype.

• The Research Journal of the Costume Culture
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• v.9 no.6
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• pp.818-829
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• 2001

The purposes of this study were to segment the men in twenties and thirties according to clothing benefits sought, and to develop a profile of each segment concerning shopping orientation, self·image, and importance of store attributes. The questionnaire was administered to men in twenties and thirties living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, and MANOVA(multivarite analysis of variance). By cluster analysis of clothing benefits sought, three groups were identified and labeled as: (1) the group of focusing the influence of other people and comfort clothing(31.7%): (2) the group of pursuing the fashion trend (48.1%); the group of pursuing the individuality(20.1%). Three groups were then compared through MANOVA on shopping orientation, importance of store attributes, and self-image. Significant differences were found among three groups on three variables. In general, the group of focusing the influence of other people and comfort clothing tended to be ostentatious and tended to wear comfortable clothing. The group of pursuing the fashion trend didn't show specific shopping orientation and just liked to follow the current fashion trend. The group of pursuing the individuality enjoyed the shopping and liked to buy the clothing which enhances the personal character.

• The Research Journal of the Costume Culture
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• v.8 no.1
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• pp.30-39
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• 2000

The purpose of this study were to 1) identify types and levels of production environments, 2) classify apparel manufacturers based on production environments and 3) investigate relationship between characteristics of apparel manufacturers and production environment. Apparel manufacturer's characteristics included product line and the number of employees. For this study, the questionnaires were administered to 215 apparel manufacturers in seoul and Kyung-gi region from Feb. to Mar. 1998. Employing a sample of 201, data were analyzed by factor analysis, descriptive statistics, cluster analysis, cluster analysis, discriminant Analysis, and multivariate analysis of variance. The following are the results of this study : 1. The production environment was identified as three types such as complexity of product environment, uncertainty of demand/supply environment and uncertainty of worker environment. 2. Based on three types of the production environment, apparel manufacturers were classified into stable group, uncertain group and complicated group. 3. With respect to product line, men's wear manufacturers were lied the most high complexity of product environment, casual wear and knit wear were lied the most frequently uncertainty of worker environment. With respect to the number employees, apparel manufacturers comprising 50∼99 employees were lied the most high complexity of product environment, while those comprising 100∼299 employees the most high demand/supply environment.

• Land and Housing Review
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• v.11 no.2
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• pp.25-32
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• 2020

This study classified and analyzed characteristics of residents in public rental housing based on data from the 2018 Housing Survey. First, in order to classify the type of public rental housing resident, the criteria were derived through factor analysis based on the satisfaction evaluation index. Next, based on the factor value, the group was classified by type through cluster analysis, and the satisfaction, characteristics of residential households, and characteristics of rental housing types were analyzed for each cluster. As a result of factor analysis, evaluation of housing facilities, accessibility, and residential comfort was selected as the cluster classification criteria, and a total of four clusters were derived through cluster analysis. As a result of analyzing the characteristics of each cluster, it was found that there was a statistically significant difference in the level of residential satisfaction, characteristics of residents, and detailed types of rental housing. The results of this analysis are expected to be used to improve existing public rental housing or develop new types of rental housing to match the characteristics of residential housing for public rental housing. In addition, in the type integration of rental housing currently being promoted, it is necessary to develop a method of providing differentiated services in consideration of the characteristics of tenants as well as the integration of physical housing types.

• Bulletin of the Korean Chemical Society
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• v.31 no.10
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• pp.2806-2808
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• 2010

The structure of 3-aminophenol $(CO_2)_1$ cluster was computationally studied both in the ground and the lowest singlet excited electronic states. The ground state structure and binding energy of the cluster was investigated using the second-order M$\ddoot{o}$ller-Plesset perturbation theory (MP2) at the complete basis set (CBS) limit. The excited state geometry of the cluster was obtained at the second-order approximate coupled cluster (CC2) level with cc-pVDZ basis set, and the $S_0-S_1$ absorption spectrum was simulated by calculating Franck-Condon overlap integral. The ground state geometry of the global minimum with a very high binding energy of 4.3 kcal/mol was found for the cluster, due to the interaction between amino group and $CO_2$ in addition to the strong $\pi-\pi$ interaction between the aromatic ring and $CO_2$. The excited state geometry shows a very big shift in the position of $CO_2$ compared to the ground state geometry, which results in low intensity and broad envelope in the Franck-Condon simulation.

• Journal of Navigation and Port Research
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• v.48 no.2
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• pp.78-87
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• 2024

To quantitatively assess the correlation between subsystems within a port cluster and the overall coordinated development of the port group, the current paper evaluates the coordinated development of port clusters. First, we construct an evaluation index system for the coupling and coordination of port clusters. Next, we introduce the contribution index of port subsystems, coupling degree, and coupling coordination degree functions to formulate a coupling coordination evaluation model for the port cluster. Finally, we use the Yangtze River Delta port cluster as a case study for validation, specifically using empirical data from 2012 to 2021. The findings reveal distinct phased characteristics in the coupling and coordination of port clusters in the Yangtze River Delta, marked by a notable transition from "maladjustment" to "coordination." Further, sustained high coupling values over a decade indicate a significant level of competition and cooperation among ports within the Yangtze River Delta port cluster. Over time, this competitive and collaborative dynamic has progressively evolved toward a more positive and structured direction. Lastly, it is expected that the evaluation model proposed in this paper can be extrapolated to other port clusters to gauge the extent of coordinated development, thereby facilitating horizontal comparisons and vertical analyses.

• Journal of the Korean Operations Research and Management Science Society
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• v.42 no.3
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• pp.25-34
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• 2017

K-means is a popular and efficient data clustering method that only uses intra-cluster distance to establish a valid index with a previously fixed number of clusters. K-means is useless without a suitable number of clusters for unsupervised data. This paper aimsto propose the Group Search Optimization (GSO) using Silhouette to find the optimal data clustering solution with a number of clusters for unsupervised data. Silhouette can be used as valid index to decide the number of clusters and optimal solution by simultaneously considering intra- and inter-cluster distances. The performance of GSO using Silhouette is validated through several experiment and analysis of data sets.