• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.741-753
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• 2011

We accomplish clustering analyses for yeast cell cycle microarray expression data. We compare model-based clustering, K-means, PAM, SOM and hierarchical Ward method with yeast data. As the validity measure for clustering results, connectivity, Dunn Index and silhouette values are computed and compared.

• KIEAE Journal
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• v.17 no.1
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• pp.55-61
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• 2017

Purpose : As the necessity of reinforcement of infections management in medical facilities after MERS increased, Ministry of Health and Welfare promulgated the enforcement regulations of medical law on February 3, 2017. Its main objective is to improve patients' safety and medical-care quality through the establishment of isolation facilities from infectious diseases and the set-up of standards for In-patient and ICU facilities. The purpose of this study is necessarily to propose a standardized spatial composition model for ward modules by analyzing changing environments of in-patient facilities according to the strengthened medical law. Method: Theoretical studies will be undergone of Evidence-based Designs to improve patients' safety, medical quality, and domestic/overseas in-patient room guidelines. With reference to the status of 24 general hospitals over 500 beds, the spatial compositions of the in-patient rooms and the types of multi/single bed room modules will be analyzed. The directions of future in-patient room module changes through the study of the minimum ward module types and various ward types will be presented. Result: This paper will hopefully provide guidelines for hospitalization rooms that can be applied to the revised rules of medical law enforcement and provide a basis for a comprehensive study of patients' safety and efficient infection control as well.

• Korean Journal of Occupational Health Nursing
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• v.18 no.2
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• pp.141-152
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• 2009

Purpose: The purpose of this research was to describe the decision making of nurses in a VIP ward. Method: The methodology of collecting and analyzing the data was based on the grounded theory of Strauss and Corbin (1998). The data were collected through an in-depth interview, which were audio-taped and transcribed. The data were collected from 10 nurses from July to November 2007. Results: The core category on VIP ward nurses' decision making was named as "adjusting with flexibility and deepened insight". The causal condition was established by 'the patients who wanted to be treated specially'. The contextual conditions included 'caring patients from various departments', 'differences depending on the nurses' clinical experience', and 'client-centered atmosphere in the VIP ward'. The intervening conditions included 'problem solving styles of nurses', 'attitudes of patients and family members', 'nurse-doctor relationships', and 'accessibility to information'. It was confirmed that nurses changed their action-interaction strategies depending on the intervening conditions, thus resulted in the nurses' role conflict and the need to expand their consciousness. Conclusion: The result of this study indicates that nurse's decision making depends on their experiences and the nature of social context in which nursing occurs.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.3
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• pp.377-387
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• 2016

Objectives: The objective of this study was to describe the emotional labor experiences of ward nurses in Korea. Methods: The data were collected through focus group interviews with seven ward nurses. The phenomenological analytic method suggested by Colaizzi was used to analyze the data. Results: Four theme clusters and eleven themes emerged from the analysis. The first theme cluster, 'Terrible working environment' includes changes in the health environment and realities of nursing organization. The second theme cluster, 'Suppressed feelings' includes institutionalized power trip, patient-centered emotion management and burning. The third theme cluster, 'Tired body and mind' includes withdrawal, wounded self-esteem, burnout and turnover desicion. The fourth theme cluster, 'Want to be comforted' includes emotional control and wishing to live as a nurse. Conclusions: The findings of this study provide an understanding of the emotional labor experiences of ward nurses to explain their perceptions and language. The essence of the emotional labor of ward nurses is a negative working environment created by increased competition in the healthcare industry and the nature of nursing organization, and as a result their quality of life has fallen.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.17-52
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• 2018

The purpose of this paper is to measure the clustering change and analyze empirical results. Additionally, by using k-means, hierarchical, and mixed models on Asian container ports over the period 2006-2015, the study aims to form a cluster comprising Busan, Incheon, and Gwangyang ports. The models consider the number of cranes, depth, birth length, and total area as inputs and container twenty-foot equivalent units(TEU) as output. Following are the main empirical results. First, ranking order according to the increasing ratio during the 10 years analysis shows that the value for average linkage(AL), mixed ward, rule of thumb(RT)& elbow, ward, and mixed AL are 42.04% up, 35.01% up, 30.47%up, and 23.65% up, respectively. Second, according to the RT and elbow models, the three Korean ports can be clustered with Asian ports in the following manner: Busan Port(Hong Kong, Guangzhou, Qingdao, and Singapore), Incheon Port(Tokyo, Nagoya, Osaka, Manila, and Bangkok), and Gwangyang Port(Gungzhou, Ningbo, Qingdao, and Kasiung). Third, optimal clustering numbers are as follows: AL(6), Mixed Ward(5), RT&elbow(4), Ward(5), and Mixed AL(6). Fourth, empirical clustering results match with those of questionnaire-Busan Port(80%), Incheon Port(17%), and Gwangyang Port(50%). The policy implication is that related parties of Korean seaports should introduce port improvement plans like the benchmarking of clustered seaports.

• Journal of the Korean Data and Information Science Society
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• v.28 no.5
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• pp.1133-1144
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• 2017

Cluster analysis with meteorological data allows to segment meteorological region based on meteorological characteristics. By the way, meteorological observed data are not adequate for cluster analysis because meteorological stations which observe the data are located not uniformly. Therefore the clustering of meteorological observed data cannot reflect the climate characteristic of South Korea properly. The clustering of $5km{\times}5km$ gridded data derived from a numerical model, on the other hand, reflect it evenly. In this study, we analyzed long-term grid data for temperatures and precipitation using cluster analysis. Due to the monthly difference of climate characteristics, clustering was performed by month. As the result of K-Means cluster analysis is so sensitive to initial values, we used initial values with Ward method which is hierarchical cluster analysis method. Based on clustering of gridded data, cluster of meteorological stations were determined. As a result, clustering of meteorological stations in South Korea has been made spatio-temporal segmentation.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1077-1094
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• 2011

We accomplish clustering analyses for yeast cell cycle microarray expression data. To reflect the characteristics of a time-course data, we screen the genes using the test statistics with Fourier coefficients applying a FDR procedure. We compare the results done by model-based clustering, K-means, PAM, SOM, hierarchical Ward method and Fuzzy method with the yeast data. As the validity measure for clustering results, connectivity, Dunn index and silhouette values are computed and compared. A biological interpretation with GO analysis is also included.

• The Korean Journal of Applied Statistics
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• v.22 no.4
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• pp.745-758
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• 2009

Cluster analysis is the automated search for groups of related observations in a data set. To group the observations into clusters many techniques has been proposed, and a variety measures aimed at validating the results of a cluster analysis have been suggested. In this paper, we compare complete linkage, Ward's method, K-means and model-based clustering and compute validity measures such as connectivity, Dunn Index and silhouette with simulated data from multivariate distributions. We also select a clustering algorithm and determine the number of clusters of Korean consumers based on Korean consumers' palatability scores for Hanwoo bull in BBQ cooking method.

• Journal of the Korean Geographical Society
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• v.44 no.1
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• pp.1-16
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• 2009

This study aims to classify climate zones using Empirical Orthogonal Function and clustering analyses considering both air temperature and rainfall features in South Korea. When examining climatic characteristics of air temperature and rainfall by seasons, the distribution of air temperature is affected by topography and latitude for all seasons in South Korea. The distribution of rainfall demonstrated that the Yeongdong area, the southern coastal area and Jeju island have higher rainfall while the central area in Gyeongsangbuk-do is the least rainfall area. Clustering analyses of average linkage method and Ward's method was carried out using input variables derived from principal component scores calculated through Empirical Orthogonal Function analysis for air temperature and rainfall. Ward's method showed the best result of classification of climate zones. It was well reflected effects of topography, latitude, sea, the movement of surface pressure systems, and an administrative district.

• The Korean Journal of Health Service Management
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• v.5 no.4
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• pp.53-63
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• 2011

This study focused on 'The Health' which should considered as a precondition for the local residents by reinvestigating the indicators of happiness after Young-Do ward formulate a community social welfare plan. There is purpose of this study as below. I searched an general attribute and the indicators of happiness, then looked how does results from questions about health and factors of the indicators of happiness can affects the health with some kinds of elements. Five hundred people from the inhabitants of Young-Do ward who is living in Young-Do district were separated by using the random sampling method as the subject of the study. The investigation took effect from October to November of 2010 and an investigator visited the inhabitants of a ward with structured questionnaire. An investigator had one-on-one talk with inhabitants of Young-Do ward while the investigation and I also collected the data through self-administered questionnaire as well. I found the physical elements influence in the health much more than the outside factors from the study. Higher satisfaction of their career, relationship between friends and co-workers, work environment and married life reflects the fact that higher self-contentment means high quality health level.