• Journal of the Korean Society of Costume
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• v.28
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• pp.137-150
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• 1996

The objectives of this study were to classify daily clothing selection motives and to group men into life style types and to examine the differences in daily clothing selection motives according to the life style types. Questionnaire comprised of three sections: 36 Likert type items of life style measure; 29 Likert type items of daily clothing selection motives measure: and 4 demographic variables. Samples were 267 salary men in gheir 20's to 30's in Seoul Korea. The data were analyzed using factor analy-sis cluster analysis one-way ANOVA Dun-can's multiple range test and t-test. 1. Five factors of life style were derived by factor analysis ; F. 1 'appearance oriented' f. 2. 'positive activity' F. 3 'economy oriented': F.4 'active-leisure';F. 5 'contemporary' Four types of life style of men were defined by cluster analysis of the five factors: T. 1'posi-tive activity'; T. 2.'economy interest'; T. 3'contemporary' : T 2'economy interest' T.3'contemporary' ; T. 4 'appearance interest' 2. Four factors of daily clothing selection motives were derived by factor analysis: F.1 'clothing harmony'; F.2 'clothing utility'; F.3 'psychological influence'; F.4 'exogenous situ-ation adaptation 3. There were significant differences in daily clothing selection motives according to the life style types. The types of positive activity economy interest and contemporary had 'clothing utility' motive more than appearance interest type. Economy interest type had 'hpsychological influence' motive more than other three types. Economy interest type and appearance interest type had 'exogenous situ-ation adaptation' motive more than other two types 4. 20's and unmarried men had'psychological influence' motive more than 30's and married. Upper class had 'clothing harmony' and 'ex-ogeneous situation adaptation' motives more than middle and low. Men with less education had ' clothing utility' and 'exogenous situation adaptation' motives more than did more edu-cation.

• Journal of the Korean Home Economics Association
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• v.38 no.7
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• pp.93-102
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• 2000

The purposes of this study were to categorize female consumers based on appearance satisfaction and to examine the differences among the categorized groups on appearance types and appearance perceptions (appearance interest, stress related to appearance, and the extent of cosmetics use). A total of 518 responses collected from a questionnaire survey to female consumers was analyzed. Cluster analysis on appearance satisfaction identified four groups including the types of: Feature satisfaction(32%); Skin satisfaction(31%); Dissatisfaction(19%); and Overall satisfaction(16%). Chi-square and ANOVA analyses revealed significant differences among the four groups on the 6 appearance types (face line, face size, skin tone, skin blemish, skin elasticity, and wrinkles) and the stress related to appearance.

• Asia pacific journal of information systems
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• v.16 no.1
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• pp.127-144
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• 2006

The K-means algorithm is widely used at the initial stage of data analysis in data mining process, partly because of its low time complexity and the simplicity of practical implementation. Cluster validity indices are used along with the algorithm in order to determine the number of clusters as well as the clustering results of datasets. In this paper, we present a performance comparison of sixteen indices, which are selected from forty indices in literature, while considering their applicability to nonhierarchical clustering algorithms. Data sets used in the experiment are generated based on multivariate normal distribution. In particular, four error types including standardization, outlier generation, error perturbation, and noise dimension addition are considered in the comparison. Through the experiment the effects of varying number of points, attributes, and clusters on the performance are analyzed. The result of the simulation experiment shows that Calinski and Harabasz index performs the best through the all datasets and that Davis and Bouldin index becomes a strong competitor as the number of points increases in dataset.

• Journal of the Korean Society of Clothing and Textiles
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• v.14 no.3 s.35
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• pp.208-215
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• 1990

The purpose of this study is to provide the fundamental data of a dummy design for more suitable ready made clothing by making a pattern of somatic types and analyzing their morphological characteristics in accordance with different pattern of somatic types. The side view silhouettes of 90 junior high school girls of age $13\~16$ in seoul urban area were measured by means of the plan photographing and the low data were examined by principal component analysis, while the principal component analysis was applied and three components were extracted and then interpreted to explain to variation of the form of the body. Using three components respectively the cluster analysis was carried out and the subject classified into 4 cluster The following outcomes are obtained. . The results of principal component analysis of this study would be turned out the three; 1) The first principal component shows the degree of erectness or stoop of the figure. 2) The second principal component was a stature length or a growth rate. 3) The third principal component was the obesity component. 2. The results of cluster analysis by using three principal component analysis would be turned out the four cluser; 1) Cluster 1 ($29\%$ of the total) is characterized with lower stature. 2) Cluster 2 ($21\%$ of the total) is characterized with backward somatotype, and the highest leg. 3) Cluster 3 ($23\%$ of the total) is thicked back of neck. 4) Cluster 4 ($27\%$ of the total) is characterized with forward somatotype, and highest stature, height.

• Korean Journal of Child Studies
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• v.32 no.4
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• pp.99-113
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• 2011

This study examined natural groupings of mother-adolescents in terms of the sub-factors of problems in family communication. The natural groupings were as follows; the placating type, the blaming type, the super-reasonable type, and the inattention type. In addition, this paper also examined individual differences in trait anger and anger coping strategies patterns by clusters of sub-factors of problem in family communication. The subjects of this study consisted of 406 adolescents. Data were analyzed by means of cluster analysis and one-way ANOVA. The results from cluster analysis with the adolescent sample suggested the presence of four clusters ('placating-suppression', 'mixing up-confusion', 'authoritarian-hostility', 'consistent-repression'). Additionally, these four groups were found to be related to trait anger and anger coping strategies (anger-suppress, anger-out, anger-control).

• Korean Journal of Childcare and Education
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• v.18 no.4
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• pp.37-52
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• 2022

Objective: This study pays attention to types of parental depression and differences in happiness and self-esteem of children in each group of parents. Methods: This study employed the 10th wave of the Panel Study on Korean Children. Cluster analysis, covariance analysis, and Bonferroni verification were performed on the data of 1,282 parents with 9-year-old children. Results: A total of four parental depression groups were categorized: 'both depressed,' 'mother depressed,' 'father depressed,' and 'not depressed.' Children of the not depressed group showed the highest psychological well-being among the four groups. Children of the mother mildly depressed group had lower scores in happiness and self-esteem than those of the father mildly depressed group. Conclusion/Implications: This study was a new attempt to categorize parental depression together, breaking away from individual approaches such as mother's depression, father's depression, and mother's and father's depression and complementary approaches between couples. When examining the impact of parental depression on children's psychological well-being, it is necessary to consider depression of the father and mother as a unit.

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.120-135
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• 1998

The purpose of this study were to develop the taxonomy of apparel buying decision approaches and to identify the relationships between the apparel buying decision approaches and the situational characteristics. Data were collected via a questionnaire developed on the previous studies and the focus interview from 425 female college students living at Pusan, and analyzed by Factor Analysis, Cluster Analysis, Analysis of Variance, and Discriminant Analysis. Results indicated that apparel buying decision approaches consisted of eight dimensions and situational characteristics of affecting a particular apparel buying decision approaches were composed of three or five factors. The four types of apparel buying decision approaches were derived by Cluster Analysis and ANOVA: Recreational Shoppers, Brand Conscious Shoppers, Quality Conscious Shoppers, and Apathetic Shoppers. The findings revealed some patterns that were similar to previous studies and was useful to marketing managers who can view their customer segments in terms of the types in the taxonomy. Further, it provided a tool by which sales representatives can develop adaptive selling approaches based on a small set of buying situation and corresponding apparel buying decision approaches.

• Journal of the Korean housing association
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• v.2 no.1
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• pp.1-12
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• 1991

The purpose of this study was to classify the types of housing life style. Housing life style was measured using four variables : furniture usage pattern, space usage pattern, family living pattern and heating system. A final Instrument was developed through the two stage pilot surveys. The respondents were 1,292 home-makers of the middle and high economic classes In Seoul and Daejeon, selected through stratified random sampling technique. Data were analyzed using SAS computer packages. The statistics used were frequency, percentage, Pear-3on`s correlation coefficient, Multiple Linear Regression, X2, and cluster analysis.The major findings were as follows : Five representative types of housing life style were found through cluster analysis. They were conventional minimum level life style, conventional optimum famiIy-centered life style, eclectic family-centered life style, contemporary optimum family - centered and contemporary so-cial, leasure-oriented life style.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.5
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• pp.842-852
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• 1995

The purpose of this study was to provide fundamental data of characterizing for age group of obese women's body shape. The subjects were 132 obese women, age of 20~59. The criteria of obestity based on Vervaeck index ($\geq$92.3), Rohrer index ($\geq$ 1.6), and bust girth ($\geq$90 cm). Thirty eight measurement items were used for F-test. Forty two transformed variables (including 4 additional variables) were used for cluster analysis The results were as follows: 1. Characteristics for age group were described that 20's was narrow shoulder, flesh contoured shape in upper body. 30's was rounded upper back, 40's was the slightest fatty shape, and 50's was the fattest round shape among four age groups. 2. Four types of obese women's body shape were classified by cluster analysis. Body shape of type 1 was fatty abdomen, and rounded upper back in 50's mainly. Body shape of type 2 was slightly fatty. Body shape of type 3 was round shape. Body shape of type 4 was the smallest girth in the obese women in 40's mainly.

• Journal of the Korean housing association
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• v.20 no.1
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• pp.1-10
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• 2009

This paper documents research carried on the University students who are potential residents of the city to find out their preference for the ubiquitous residential functions, and categorize based on the life style to find out difference of their preference on ubiquitous residential functions. A survey was conducted on 324 university students in Gwangju city. The students were selected through purposive sampling and quota sampling by self-administered questionnaire sheets. The analysis analyzing methods using SPSS/PC 12.0 are frequency, percentage, factor analysis, cluster analysis, $x^2$(chaisquare)-test and one-way ANOVA (analysis of variance). For the survey, lifestyle types were categorized as: These are classified based on the analysis of facts regarding characteristics of student's lifestyles that are divided into nine types of facts and then make the four types through the cluster analysis as below. Energetic life type, Inactive life type, Family-oriented life type, Thrifty and Personality-oriented life type. The residential function of Ubiquitous is classified as Safety, Convenience, Comfortableness, Information, Health, Leisure and the residential space is divided into bedroom, livingroom, kitchen, bathroom. Considering the preference aspects for Ubiquitous residential function, among the bedroom, living room, kitchen, and bathroom, University student seek for safety from the living room, Convenience from the kitchen and Comfortableness from the living room, bedroom and kitchen. For Information, bedroom is most preferred among the bedroom, living room, and kitchen. For Health and Leisure, bedroom is preferred between bedroom and living room. In terms of the difference about the preferences for ubiquitous functions based on the four types of lifestyles; The Thrift-oriented type is commonly preferred to the Inactive type among the bedroom, living room and kitchen. The Family-oriented and the Thrift-oriented type were preferred to the Energetic and Inactive types in the bathroom. Also, in the entire residential space, the Ubiquitous functions is most preferred by the Thrifty and Personality-oriented life type.