• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.8 s.145
• /
• pp.1079-1091
• /
• 2005

The purpose of this study was to point out the unification of the size of swimming headgear by measuring detailed measurement of head ferm and systematizes the head form. A total of 300 male and female Korean adults aged from 18 years old to 35 years old were measured through the direct measurement method. This study attempted to identify the head form of male and female adults using measurement data and the head form was classified through factor analysis and cluster analysis. (1) Based on the fact that this study especially focuses on the size of swimming headgear, factor analysis was performed far both direct measurements with hair and without hair. For the measurements with hair, seven factors were extracted. They were head thickness factor, head width factor, width of side head factor, height of back head factor, length of front head factor, circumference of front head factor, thickness of front head factor and head height factor. They explained the $70.95\%$ of the measurements. (2) The cluster analysis was executed to classify the somatotype of the korean head form on the basis of similarity. According to the cluster analysis result, the measurements with hair categorized types, 'Woman's long-hair type', 'Small type', 'Long and flat type', 'Large type'. (3) Head circumference B and Left tragion - Vertex - Right tragion circumference which are generally length and width in choosing swimming headgear size were selected as measurement items far size of swimming headgear. Direct measurements and sizes of four swimming headgear with different materials taking into account their elongation rate were also compared.

• Journal of the Korean Home Economics Association
• /
• v.44 no.10
• /
• pp.9-20
• /
• 2006

Due the globalization trends of industry environment, not only fashion companies of the developed countries but also those of NICs and the developing countries are pursuing to globalize their businesses. This study was conducted (i) to identify the characteristics of international marketing mix of Korean fashion companies operating in oversea fashion markets and (ii) to analyze the performance of Korean fashion companies related to international marketing mix. The data were collected from inter-Korean fashion enterprises. A questionnaire was distributed to a person in charge of international division/international trade division who doing business in domestic market and a person in charge of a local subsidiary in oversea market. The methods of analysis used in this study were factor analysis, cluster analysis, and one-way ANOVA. The results of this study are as follows: First, according to factor analysis and cluser analysis, Korean fashion companies were classified in four (4) clusters. The fashion companies in Cluster I put their priority on price. The companies in Cluster II are traditional fashion companies which have relatively low power of product and price. The companies in Cluster III put their priority on product, and the companies in Cluster IV put their priority on local market. Second, according to ANOVA, a growth rate of sales make significant difference among 4 clusters and Clusters II and III were comparatively high in performance.

• Fashion & Textile Research Journal
• /
• v.10 no.5
• /
• pp.644-651
• /
• 2008

The health of foot is connected with individual's health and affects men's activity. In order to develope comfort socks, both foot size and foot shape must be considered. The purpose of this study was to categorize men's foot shape according to age using men's foot scan data (with 2005 Size Korea). Factor analysis, Cluster analysis, ANOVA, and Duncan's test were performed for statistical analysis of the data by SPSS Win 12.00 program. The results are as follows. 1. Nine factors constituting the men's foot were extracted through factor analysis and those factors comprised 77.7% of total variance. 2. On the basis of the cluster analysis, four different foot shapes were categorized. Cluster 1 was characterized by large in toe and ankle size. Cluster 2 was characterized by short foot length, low foot height, and small foot breadth/girth. Cluster 3 was characterized by large and high in foot height. Cluster 4 was characterized by short in foot length and large in foot breadth/girth. 3. Distribution of four foot shape clusters from 20 to 70 years in age above were categorized. For the 20 to 29 years in age, cluster 2, while for the over 30 years in age cluster 4 or cluster 3 is the most dominant foot type. A foot breadth in the 50 years over is wider size range than that in the below 49 years. The foot figures of elderly men over 60 years were smaller than those of below 60 years.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.5 s.142
• /
• pp.737-744
• /
• 2005

This study was aimed to provide the measurement data and shape classification of the head of the Korean male children for the headwear sizing systems. Five hundred twenty male children, aged nine to twelve years, participated f3r this study. The 17 regions on the head and height, weight of the subjects were directly measured by the expert experimenters. Factor analysis, cluster analysis, GLM analysis and Tukey HSD test were performed using these data. Through factor analysis, low factors were extracted upon factor scores and those factors comprised $69.76\%$ for the total variances. Three clusters as their head shape were categorized using four factor scores by cluster analysis. Type 1 was characterized by the widest width and Bitragion arc, shortest head length. Type 2 had the longest head length and the widest side width and the highest head length and head circumference. Type 3 was characterized by the smallest head circumstance, head width and side width, and medium head length.

• Journal of Environmental Science International
• /
• v.15 no.11
• /
• pp.1017-1025
• /
• 2006

This study was conducted to evaluate characteristic of water duality in coastal sea of Incheon using a multivariate analysis. The analysis data in coastal sea of Incheon was aquired by the NFRDI data which was surveyed from March 1997 to November 2003. Eleven water quality parameters were determined on each survey The results were summarized as follow : Water quality in Incheon coastal sea could be explained up to 64.62% by three factors which were included in loading of fresh water and nutrients by the land(36.98%), seasonal variation(16.19%), and internal metabolism (11.24%). The results of time series analysis by factor score, in case of factor 1, station 1 influenced by Han river was shown to high factor score and station 3 located by outer sea was shown to low factor score. In case of factor 2, station 1 was appeared to high variation and station 3 was appeared to low variation. The result of cluster analysis by station was classified into three group that has different water quality characteristics. Especially, station 1 which affected by Han river and station 4 which affected by sewage treatment plant was appeared to considerable water quality characteristics against other station. In yearly cluster analysis, three group was classified and water quality in 2003 years due to high precipitation was different to another year. It could be suggested from these results that it is important to control discharge of fresh water by Han rivet and sewage treatment plant for water quality management of coastal sea of Incheon.

• Environmental Engineering Research
• /
• v.19 no.3
• /
• pp.197-203
• /
• 2014

This study estimated spatial and seasonal variation of water quality to understand characteristics of Nakdong river basin, Korea. All together 11 parameters (discharge, water temperature, dissolved oxygen, 5-day biochemical oxygen demand, chemical oxygen demand, pH, suspended solids, electrical conductivity, total nitrogen, total phosphorus, and total organic carbon) at 22 different sites for the period of 2003-2011 were analyzed using multivariate statistical techniques (cluster analysis, principal component analysis and factor analysis). Hierarchical cluster analysis grouped whole river basin into three zones, i.e., relatively less polluted (LP), medium polluted (MP) and highly polluted (HP) based on similarity of water quality characteristics. The results of factor analysis/principal component analysis explained up to 83.0%, 81.7% and 82.7% of total variance in water quality data of LP, MP, and HP zones, respectively. The rotated components of PCA obtained from factor analysis indicate that the parameters responsible for water quality variations were mainly related to discharge and total pollution loads (non-point pollution source) in LP, MP and HP areas; organic and nutrient pollution in LP and HP zones; and temperature, DO and TN in LP zone. This study demonstrates the usefulness of multivariate statistical techniques for analysis and interpretation of multi-parameter, multi-location and multi-year data sets.

• The Korean Journal of Applied Statistics
• /
• v.20 no.2
• /
• pp.387-394
• /
• 2007

This paper considers several stratification strategies for multivariate and multipurpose survey with several quantitative stratification variables. We propose three methods of stratification based on, respectively, the method of cumulative frequency square root which is the most popular one in univariate stratification, cluster analysis, and factor analysis followed by cluster analysis. We then compare the efficiency of those methods using the Dong-Eup-Myun data of the holding numbers of farming machines, extracted from the 2001 Agricultural Census. It turned out that the method based on cluster analysis with factor analysis would be a relatively satisfactory strategy.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.27 no.7
• /
• pp.831-842
• /
• 2003

The purpose of this study is to analyze body types of Chinese women and provide concrete information on it by classifying them into several representative groups. As for the method of this study, statistical analysis is made of 79 items. This is done from July 18 to Aug 07, 2002, 525 female subjects from age 20 to 49 participated in this study. They all live in Beijing and Shanghai in China. The results of this study are as follows. 1. Means, standard deviations, the maximum and minimum of 19 items are extracted. The height and girth item have a high standard deviations. 2. 8 factors are extracted by using factor analysis. Factor 1: body obesity, Factor 2: vertical body size, Factor 3: upper body length Factor 4: size of ankles, Factor 5: angle of shoulders, Factor 6: length of hip Factor 7: size of shoulder, Factor 8: shape of chest 3. The body types of Chinese women are classified into 5 sub groups from the result of the Cluster analysis.

• Journal of the Korean Society of Costume
• /
• v.42
• /
• pp.163-172
• /
• 1999

The purpose of this study is to classify the types of torso of adult females using the tight fitting technique and pattern development figure. The subjects are 106 females of 19 to 24 years old. 59 different items are measured from body surface development and analyzed by factor analysis and cluster analysis. The results are as follows; 1. Eight somatotype factors are obtained through factor analysis and orthogonal rotation by the method of Varimax Factor 1 is the length of upper body factor 2 the length of lower body factor 3 the circumference and width of the back of upper body factor 4 the circumference and width of front torso factor 5 the dart type of the back of upper body factor 6 the size of the back neck factor 7 the type of the front shoulder and factor 8 the size of the back arm hole. 2. As a result of cluster analysis the somatotype of torso is classified into 5 types. Type 1 is normal in length circumference and width of upper body. Type 2 is shortest length circumference and width of torso. Type 3 is long in length circumference and width of torso. Type 4 is normal length and short in circumference and width especially short in bust circumference. Type 5 is longest in length circumference and width of torso.

• Journal of Information Technology Services
• /
• v.16 no.1
• /
• pp.119-138
• /
• 2017

Mobile easy payment is a term for using mobile devices to facilitate financial transactions. Mobile easy payment is a quickly emerging practice, supported by the dramatic increase of mobile phone or device users around the world. The purpose of this study is to classify user's group of the mobile easy payment service by their lifestyle based on I-VALS type and to investigate differences in usage behavior among the user groups. For empirical study, a questionnaire survey was carried out with users of mobile easy payment services using the Internet from June 7 to 10 in 2016. We conducted factor analysis for I-VALS, usage factors, satisfaction factors. We also performed cluster analysis for group classification, and analysis of variance, cross analysis to compare the different usage behavior among the user groups. In analysis results, first three cluster appeared including "ICT task-oriented group", ICT positive and socialities oriented group", "ICT leader-oriented group". Second, it was found significant differences among the clusters about factor of "easy of use", "securities", "universality", "satisfaction". Third, we showed that there were significant differences in time first used the service. Based on these findings, we provide practical implications. Results of our study can be expected to provide the basis of differentiated marketing strategy of mobile easy payment services.