• The Journal of Industrial Distribution & Business
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• v.9 no.12
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• pp.15-21
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• 2018

Purpose - In order to improve the comprehensive competitiveness of cultural tourism creative industries in the region, different grade cities should adapt to local conditions and differentiated development as the angle. It can promote the optimization of regional tourism industry structure, and make relevant suggestions accordingly. Research design, data, and methodology - Based on the characteristics of cultural tourism creative industry, 24 indicators are selected from four aspects. The comprehensive competitiveness evaluation index system of cultural tourism creative industry is constructed. The essay use factor analysis to quantitatively evaluate 27 cities in the Pan-Yangtze River Delta, and use cluster analysis to classify the competitiveness of cultural tourism creative industries in each city into five types. Results - The results of cluster analysis show that the whole area presents five kinds of step-like features, which are mature leading type, the advantageous development type, comparatively advantageous type, well-grounded type and difference-promotion type. Conclusions - The factor analysis method was used to quantitatively evaluate 27 cities in the Pan-Yangtze River Delta, and cluster analysis was used to classify the cultural tourism creative industry competitiveness of each city into fives type city. Based on the differentiation of cultural tourism creative industry competitiveness and 27 cities in the Pan-Yangtze River Delta, the relevant strategies were proposed.

• Journal of Korean Society of Rural Planning
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• v.26 no.1
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• pp.101-112
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• 2020

Recently, public awareness regarding mountain villages' landscapes is increasing. Thus, this study aimed to provide standards for conservation, management and creation of mountain village landscape by characterizing and classifying those exist. 286 mountain villages' data were collected and 19 variables - extracted from GIS spatial information and statistic data of mountain villages, chosen as right sources according to former studies - were utilized to conduct factor and cluster analysis. As a result of the factor analysis, 7 characteristics of the mountain villages' landscapes were defined - 'Location', 'Cultivation', 'Ecology·Nature', 'Tourism', 'Residence', 'Recreation'. The K-means cluster analysis categorized the mountain villages' landscapes into four types - 'Residential', 'Touristic', 'General', 'Environmentally protected'. The classification was examined to be appropriate by field assessment, and basic guidelines of mountain village landscape management were set. The results of this study are expected to be utilized planning and implementing regarding mountain village landscape in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.2
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• pp.250-260
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• 2003

The purposes of this study were to classify the contents of shopping orientation of cosmetics, to group women into shopper types of cosmetics, to investigate the differences in cosmetics purchase behavior according to shopper types, and to examine how the cosmetics satisfaction was influenced by cosmetics shopping orientation and demographic variables. Subjects were 479 women in their 20's to 50's in Seoul, Korea. The factors of the shopping orientation of cosmetics derived by factor analysis:'impulsive shopping','conspicuous shopping','rational shopping', and 'independent shopping. Four shopper types were classified by cluster analysis of the 4 factors. The shopper types were the same as the 4 factors. total satisfaction of cosmetics was influenced by independent shopping orientation, age, brand, impulsive shopping orientation, conspicuous shopping orientation, and rational shopping orientation(R2=.217). Satisfaction of basic cosmetics was influenced by conspicuous shopping orientation. independent shopping orientation. age. rational shopping orientation, impulsive shopping orientation, and social class(R2=.407). Satisfaction of coloring cosmetics was influenced by brand, independent shopping orientation, age, and impulsive shopping orientation(R²=.167).

• Journal of the Korean Home Economics Association
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• v.41 no.11
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• pp.21-33
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• 2003

According as the importance of brand value has increased, it's so significant that we analysis brand loyalty and buying-behavior types in the side of various consumption. Also, it will make it for us to presuppose consumer's buying-behaviors in modem society. As an analytical result of consumer's buying-behavior type, they were divided into four type; price value consciousness type, sale orientation type, price-quality schema type, convenience type. As a result of cluster analysis and one-way ANOVA on the three type of consumer's buying-behavior : Price-orientation type, high quality orientation, convience orientation. And it was found that there was relation between buying-behavior types and brand loyalty. Specially, it was high positive relationship between high quality orientation and brand loyalty, convience orientation and brand loyalty.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.115-123
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• 2008

The purpose of this research is how to build the film industry cluster compare with the policies of metropolitan areas and local film industry. This research select four areas including Seoul and Kyunggi areas and Busan, Jeonju. And through the compare with the film industry infra & policies which results in as follows. This research suggest that film industry cluster devided into the two types. The one is the Film Industry Cluster Type and the other is Film Connected Tourism Business Cluster Type. Film Industry Cluster Type is devided into international competitive cities and domestic film industry cities. We suggest that Seoul, Kyunggi and Busan areas are designated to international competitive cities and Jeonju and Daejeon areas are designated to domestical cities. And the kwangwon, Chungcheng, Cheju Areas designated to Film Connected Tourism Business Cluster for location and open set business to improve the local development.

• Journal of Environmental Impact Assessment
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• v.26 no.2
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• pp.160-170
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• 2017

The purpose of this study is to perform clustering of the habitat types and to identify the characteristics of species in the habitat types using mammal data (70,562) of the 3rd National Ecosystem Survey conducted from 2006 to 2012. The 15 habitat types recorded in the field-paper of the 3rd National ecosystem survey were reclassified, which was followed by the statistical analysis of mammal habitat types. In the habitat types cluster analysis, non-hierarchical cluster analysis (k-means cluster analysis), hierarchical cluster analysis, and non-metric multidimensional scaling method were applied to 14 habitat types recorded more than 30 times. A total of 7 Orders, 16 Families, and 39 Species of mammals were identified in the 3rd National Ecosystem Survey collected nationwide. When 11 clusters were classified by habitat types, the simple structure index was the highest (ssi = 0.07). As a result of the similarities and hierarchies between habitat types suggested by the hierarchical clustering analysis, the residential areas were the most different habitat types for mammals; the next following type was a cluster together with rivers and coasts. The results of the non-metric multidimensional scaling analysis demonstrated that both Mus musculus and Rattus norvegicus restrictively appeared in a residential area, which is the most discriminating habitat type. Lutra lutra restrictively appeared in coastal and river areas. In summary, according to our results, the mammalian habitat can be divided into the following four types: (1) the forest type (using forest as the main habitat and migration route); (2) the river type (using water as the main habitat); (3) the residence habitat (living near residential area); and (4) the lowland type (consuming grain or seeds as the main feeding resource).

• Journal of the Korean Society for Library and Information Science
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• v.51 no.2
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• pp.157-178
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• 2017

The objective of this study is to investigate college student search behavior in an academic library. The theory of planned behavior was applied for identifying relationship among variables on search behavior. Data were collected in an university. For data analysis, ANOVA, factor analysis, regression analysis, cluster analysis were used. The result shows: the theory of planned behavior can be used for finding search intention in an academic library. Student major and library use frequency are different statistically in attitudes, perceived behavioral control, behavioral intention. Student characteristics are divided into four types: conservative, independent, friendship, fashion. Friendship type of students influences search behavior. From cluster analysis, the cluster included friendship and independent types of students and students who have high frequency of library use has more active intention for search in academic library.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.33 no.2
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• pp.35-40
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• 2022

Objectives: Restricted and repetitive behaviors (RRBs) are a core symptom in the diagnosis of autism spectrum disorder (ASD). The complexity of behavioral patterns has called for the creation of phenotypically homogeneous subgroups among individuals with ASD. The purpose of this study was 1) to investigate the different types of RRBs and 2) to explore whether subgroups created by RRBs would show unique levels of functioning in toddlers and young children with ASD. Methods: A total of 313 children with ASD, aged 12-42 months were included in the analysis. The Autism Diagnostic Interview-Revised was used to obtain information on the different types of RRBs by grouping 15 items into six categories. The Vineland Adaptive Behaviors Scale, a parent-reported questionnaire, was used to measure adaptive functioning. A portion of the children were analyzed separately for verbal-related RRBs based on their expressive language level. Two-step cluster analysis using RRB groups as features was used to create subgroups. Analysis of covariance while covarying for age and language was performed to explore the clinical characteristics of each cluster group. Results: Sensory-related RRBs were the most prevalent, followed by circumscribed interests, interest in objects, resistance to change, and repetitive body movements. A subset of the children was analyzed separately to explore verbal-related RRBs. Four cluster groups were created based on reported RRBs, with multiple RRBs demonstrating significant delays in adaptive functioning. Conclusion: Heterogeneity of RRBs emerges at a young age. The different patterns of RRBs can be used as valuable information to determine developmental trajectories with better implications for treatment approaches.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.789-799
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• 2019

This study classified and analyzed the upper body types of 7-13 years old elementary school boys, using 3D data from the 6th Size Korea. The results of this study are as follows. Seven factors were extracted from the factorial analysis as an independent factor for a cluster analysis. The cluster analysis generated four body types. Type 1 has large ratio of front and back depth as well as circumference, with a front protrusion. In Type 2, the vertical value of upper torso is longer than average; in addition, its flatness is the largest and produces a thin body type. Type 3 has a smaller flatness in the bust, waist, abdomen and hip than other types, while also having the largest BMI. Type 4 is characterized by a greater shoulder angle than other types and its other factors are close to average. As a result of the logistic regression analysis, the prediction model used eight variables to generate and its accuracy is 88.679%. The classification of upper body types from this study can be used as basic data to improve patternmaking for each body type. The generated prediction model is also expected to be used as a method to help classify upper body types using the eight variables.

• Journal of the Korean housing association
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• v.24 no.3
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• pp.85-94
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• 2013

This research investigates and characterizes lifestyles and housing preferences of Korean-American Baby Boomers in the USA, and proposes future housing design and planning directions to meet their needs. A questionnaire survey was conducted from June to September 2012 examining lifestyles and preferred characteristics of postretirement homes. We targeted Korean-Americans born from 1955 to 1963 in either Korea or the USA who currently reside in New York, Washington DC, Chicago, Dallas, Detroit, Lansing, Grand Rapids, and San Francisco. To analyze the 247 responses, we employed factor analysis, cluster analysis, one-way ANOVA, and crosstabs. Respondents preferred three-bedroom, singlefamily housing types with a size of 26-35 pyong, favoring city outskirts or suburbs over urban areas. Four groups having different lifestyle types were identified: innovators, believers, fashion experiencers, and makers. Housing preference differed depending on lifestyle types. The 'innovator' group desired homes 56 pyong or larger, while the other groups preferred 26-36 pyong. The four lifestyle groups did not show statistically significant differences in most of preferred housing features, community facilities, or indoor environmental characteristics. Each group still showed slightly different preferences in some housing planning characteristics, which future planners can refer to when providing postretirement homes for them.