• Title, Summary, Keyword: cluster analysis

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A Study on the Dining-Out Behaviors of Undergraduates Clusters Classified by Differences in the Attributes of Restaurant Choice (대학생의 레스토랑 선택 속성 군집에 따른 외식 행동 차이에 관한 연구)

  • Jung, Hyo-Sun;Yoon, Hye-Hyun
    • Journal of the East Asian Society of Dietary Life
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    • v.18 no.5
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    • pp.829-840
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    • 2008
  • The principal objectives of this study were : 1) to classify groups via cluster analysis for undergraduate's attributes of restaurant choice, and 2) to assess differences in dining-out behaviors among each restaurant choice cluster. Self-administered questionnaires were completed by 387 students, and the data were analyzed via frequency analysis, chi-square, one-way ANOVA, factor analysis, reliability analysis, cluster analysis and discriminant analysis. Three clusters were obtained by the attributes of restaurant choice from cluster analysis : Cluster 1 "indifferent style", Cluster 2 "ordinary style", and Cluster 3 "highly interested (careful) style". As for connections between the attributes of restaurant choice and distinctive dining-out behaviors in different undergraduates clusters, an indifferent style was rampant among the male students in their lower academic years. This group of students responded that they ate out only to satisfy their hunger, and stayed in a restaurant for one hour or less. Their friends made the choice of a restaurant on their behalf. The students in the "ordinary style" group spent between 5 and 10 thousand won to dine out, and stayed in a restaurant with their friends for two hours or less. They made the choice of a restaurant on their own, or together with their friends. A highly interested (careful) style prevailed among the female students in the upper academic year. This group of students ate out in order to mingle with their friends or colleagues rather than to satisfy their hunger, and they generally made a choice of a restaurant on their behalf.

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Symptom Cluster Presented by Non-small Cell Lung Cancer Patients on Gefitinib Treatment (게피티니브 치료를 받은 비소세포폐암 환자의 다발성 증상군 (Symptom Cluster))

  • Lee, Sung-Young;Park, Hyeoun-Ae
    • Asian Oncology Nursing
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    • v.9 no.2
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    • pp.77-85
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    • 2009
  • Purpose: The purpose of this study was to identify symptom cluster experienced by patients with advanced non-small cell lung cancer (NSCLC) on gefitinib treatment. In addition, this study assessed the patterns in severity of the symptom cluster and differences in quality of life (QOL) and function among subgroups by the severity of symptom cluster. Methods: This study was conducted as a secondary analysis of symptoms of 72 patients from a mother study. Factor analysis was used to identify symptom clusters measured with EORTC QLQ-C30 and LC13 symptom related items. Results: Three symptom clusters were identified: cluster 1 was comprised of fatigue, anorexia and dysphagia; cluster 2 of dyspnea, cough and insomnia; and cluster 3 of pain, constipation and nausea/vomiting. These three symptom clusters were improved one week after gefitinib administration. The group with more severe symptom clusters showed significantly lower QOL and function than the group with less severe symptom clusters. Conclusion: Since symptom clusters experienced by the patients with advanced NSCLC influenced on the QOL and function, it is important for nurses to understand and observe their symptom clusters. In addition, there is an necessity to develop nursing interventions to effectively care patients with the symptom clusters.

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Multivariate Analysis for Classification of Smog Type during the Summer Season in Seoul, Korea (다변량해석을 이용한 서울시 하계 스모그의 형태 분류)

  • 홍낙기;이종범;김용국
    • Journal of Korean Society for Atmospheric Environment
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    • v.9 no.4
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    • pp.278-287
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    • 1993
  • In order to calssify smog type durnig the summer season in Seoul, air Quality and meterorological data were analyzed by multivariate analysis. Among 15 variables relating to visibility, 10 variables were selected by multiple regression analysis for clustering of smog types; total suspended particle, sulfur dioxide, ozone, ntrogen dioxide, total hydrocarbon, south-north wind component, ralative humidity, precipitable water, mixing height and air temperature. Somg types were grouped into three clusters using cubic clustering criterion and the mumbers of days in each cluster were contained 74, 28 and 16 days. Each cluster was seperated clearly by sulfur dioxide, precipitable water and air teperature. The first cluster was representative of high ozone concentration and prevailing meterological conditions for ozone formation. Therefore, visibility in the first cluster was considered to be affected by photochemical smog. The third cluster showed characteristics of sulphurous smog type due to the higher concentration of primary pollutant, based on the dry condition than that in another cluster. On the other hand, the characteristic of the second cluster was not relatively clear, but considered to be in an intermediate characteristic between photochemical smog and sulphurous smog type.

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A Study on Eating-out Behavior by Cluster Analysis according to The Lifestyle of Female Consumers in Seoul (서울시 여성 소비자의 라이프스타일에 따른 군집분석과 외식행동에 대한 연구)

  • Van, Ju-Won
    • Journal of the Korean Society of Food Culture
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    • v.23 no.3
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    • pp.377-387
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    • 2008
  • The objective of this study was to use cluster analysis to determine differences in eating-out behavior among grouped clusters of female consumers after each cluster was divided based on lifestyle patterns. The data were collected by interview survey from a biased sample of 1,300 females, ranging from ages 20 to 59, and living in residential districts of Seoul. Reliability analysis, factor analysis, cluster analysis, cross-tabulation analysis, and analysis of variance (ANOVA) were applied to the data. Four lifestyle factors were extracted by lower-division and classified as follows: health condition, consuming, food, and housing lifestyles. Based on these four factors, the female consumers were grouped as three clusters: the consuming-individuality type, rational-pursuit type, and conservative-stability type. The eating-out behavior of each cluster was significantly different in terms of frequency of eating-out, eating-out expenditures, restaurant selection criteria, food preferences, and the purpose for eating-out. Since this study surveyed females from ages 20 to 59, age and demographics were the differential factors in determining the various lifestyle types. Thus, to target the consumers who form a target market, the food industry should consider market segmentation that combines demographic factors such as age, income, and marital status.

Subaru Weak-lensing Analysis of the Merging Cluster ZwCL 1447.2+2619 at z=0.37

  • Lee, Juheon;Jee, Myungkook J.
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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    • pp.61.2-61.2
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    • 2018
  • ZwCL 1447.2+2619 is a merging galaxy cluster at z=0.37 with clear substructures in X-ray emission and galaxy distribution. In addition, the system possesses distinct radio relics. In order to constrain the merger scenario, it is necessary to measure both the distribution and mass of the cluster dark matter. We perform weak lensing analysis of ZwCL 1447.2+2619 using Subaru imaging data. We detect clear lensing signal from the cluster after carefully addressing instrumental systematics. In this poster, we present our preliminary results on our mass reconstruction and discuss the comparison with X-ray and radio results.

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The Analysis of Children's Torso using Photographic Anthropometry(II):A Classification of Clusters by Principal Component Score (사진 계측에 의한 아동의 동체 형상 분석(II): 주성분 점수에 의한 군집 유형의 분류)

  • Jeon, Eun-Kyung;Kwon, Sook-Hee
    • Korean Journal of Human Ecology
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    • v.8 no.2
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    • pp.313-325
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    • 1999
  • This study aimed to classify the data of children's bodies into several clusters by principal component scores that were extracted through the factor analysis in the former study, and to describe the distribution and body characteristics of the clusters. The sample was 308 elementary school children aged from 6 to 8 and the anthropometric measurements were performed indirectly from the photographs of the subjects, which was the same as the first analysis. The data were analysed statistically using SPSSWIN Ver. 8.0. Through the statistical analysis, 3 clusters were obtained from the data. The first cluster distributed more in the children aged 7 and 8 than in the children aged 6. The somatotype of this group was the tallest among the three groups, and they were the most developed group compared to the two other groups in lateral component as well as in linear component. The second cluster group wasn't well developed in lateral components, and had lowest level in Rohrer Index, so this group had thin figures compared to the other groups. The third cluster revealed dominant distribution in the group aged 6, and the group had the least developed linear components but higher level in Rohrer Index. Each cluster group revealed peculiar somatotype that was dominant in one group but rarely in other cluster groups. Lateral views of these characteristics were showed using the average of the measurements of clusters.

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A Study on Organic Farm's Actual Condition of Promoting Complex Industrialization and Classification Using Changes after Promoting (유기농산물 생산농가의 복합산업화 추진 실태 및 추진 후 변화를 이용한 농가 유형화 연구)

  • Sung, Ji-Eun;Kim, Chang-Ho;Jeong, Jin-Gu
    • Korean Journal of Organic Agriculture
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    • v.25 no.1
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    • pp.1-22
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    • 2017
  • The purpose of this research is to analysis actual condition of promoting complex industrialization and changes after promoting, and then to classify organic farmer using cluster analysis based on delineated organic farmer's changes factors. This study also aims to investigate differences in socioeconomic characteristics and behavioral intentions among classified groups of organic farmer's changes. Data were obtained by questionnaire. From the factor analysis, four factors were derived as "Economics", "Public benefit", "Environment and philosophical values" and "Establishing management and the regional bedrock". From the cluster analysis, three cluster were derived as "group that has a positive awareness of promoting complex industry", "group that has a negative awareness of promoting complex industry" and "unstable management and a regional base". And the three classifications were significantly different in the satisfaction and behavioral intentions.

A Comparison of cluster analysis based on profile of LPGA player profile in 2009 (2009년 여자프로골프선수 프로파일을 이용한 군집방법비교)

  • Min, Dae-Kee
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.3
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    • pp.471-480
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    • 2010
  • Cluster analysis is one of the useful methods to find out number of groups and member’s belongings. With the rapid development of computer application in statistics, variety of new methods in clustering analysis were studied such as EM algorism and Self organization maps. The goals of cluster analysis is finding the number of groupings that are meaningful to me. If data are analyzed perfectly with cluster analysis, we can get the same results from discernment analysis.

Classification and Analysis of the Somatotype through Side View Silhouette of the whole body by Multivariate Method (다변량분석법에 의한 측면전신체형 분류)

  • 권숙희
    • Journal of the Korean Society of Clothing and Textiles
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    • v.21 no.7
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    • pp.1227-1235
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    • 1997
  • The purpose of this study was to classify the somatotype based on the side view and to analyze the characteristics of each somatotype. In order to reduce the burden of stocks and increase clothing fitness, systematic information on typical body sizes and somatotypes is essential. The subjects were 206 unmarried women aged from 19-29. Data were collected through anthropometry and photometry and analyzed by factor analysis, cluster analysis and analysis of variance. As the result of factor analysis for the classification of somatotypes, 8 factors which explain 74.7% of variance were extracted from 35 photometric and 17 anthrometric data. Using factor scores cluster analysis was carried out and the subjects were classified into 4 cluster.Each cluster was classified as bending type, swayback, turning over type and straight type accordding to its position to the relativeplumb line and their side view contour.

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