• The Korean Journal of Applied Statistics
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• v.5 no.2
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• pp.211-227
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• 1992

In this paper we consider the definition and mathematical properties of similarity or dissimilarity which have often used in clust analysis, and we apply a hierarchical agglomerative cluster algorithm to a dissimilarity metrx generated by these distance. Here we investigate the effect of relation between distance function and cluster algorithm on the retrieval ability of natural clusters. We present an empirical results for qualitative data as well as quantitative data.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.181-193
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• 2017

The paper introduces bottom-up and optimal combination methods that can analyze and forecast hierarchical time series. These methods allow forecasts at lower levels to be summed consistently to upper levels without any ad-hoc adjustment. They can also potentially improve forecast performance in comparison to independent forecasts. We forecast regional traffic accident counts as time series data in order to identify efficiency gains from hierarchical forecasting. We observe that bottom-up or optimal combination methods are superior to independent methods in terms of forecast accuracy.

• Journal of Information Management
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• v.40 no.2
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• pp.95-115
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• 2009

Author resolution is to disambiguate same-name author occurrences into real individuals. For this, pair-wise author similarities are computed for author name entities, and then clustering is performed. So far, many studies have employed hierarchical clustering techniques for author disambiguation. However, various hierarchical clustering methods have not been sufficiently investigated. This study covers an empirical evaluation and analysis of hierarchical clustering applied to Korean author resolution, using multiple distance functions such as Dice coefficient, Cosine similarity, Euclidean distance, Jaccard coefficient, Pearson correlation coefficient.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.364-366
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• 2000

컴포넌트 기반의 개발과 컴포넌트 개발에 대한 관심이 높아지면서 이를 위하 개발 방법론과 개발 도구들의 도입이 확산되고 있다. 또한 컴포넌트의 재사용 범위를 확장시키기 위해 컴포넌트 개발 시 나타나는 Hot Spot 처리를 위한 분석, 설계 기법에 대한 관심이 높아지고 있다. 따라서 본 논문에서는 이러한 분석, 설계기법을 이용하여 융통적인 계층적 접근 권한에 대한 분석, 설계 모델을 제시한다. 본 논문에서는 다지인 모델링을 위한 표기법으로서 객체지향 모델링 기법인 UML(Unified Modeling Language)를 이용하여 모델링 한다.

• The Korean Journal of Applied Statistics
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• v.20 no.2
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• pp.229-244
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• 2007

Among the small area estimation methods, it has been known that hierarchical Bayesian(HB) approach is the most reasonable and effective method. However any model based approaches need good explanatory variables and finding them is the key role in the model based approach. As the lacking of explanatory variables, adopting the spatial terms in the model was introduced. Here in this paper, we evaluate the model based methods with/without spatial terms using the diagnostic methods which were introduced by Brown et al. (2001). And Economic Active Population Survey(2005) is used for data analysis.

• Journal of Korea Water Resources Association
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• v.42 no.3
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• pp.177-190
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• 2009

Rehabilitation projects for old water mains typically require considerable capital investments. One of the economical ways of pursuing the rehabilitation projects is to focus on a specific area within the entire region under management. In this paper the hierarchical clustering methods that analyze spatial inter-relationship of location data are applied to about 8,000 water leak location data recorded in a case study area from 1992 to 1997. Among the hierarchical clustering methods Single, Complete, and Average Linkage Methods are used to identify clusters of the water leak locations and to divide the area according to the defined clusters. By comparing the clusters identified by the clustering methods, the best clustering method for the case study area is suggested. Prioritization of the area for maintenance is obtained based on the water leak incident intensity for the clustered area using the suggested best clustering method.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.204-207
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• 2009

수소를 기반으로 하는 신재생에너지의 생산, 관리 및 이용 시스템을 연계하여 운전하는 Green City 실증단지 구현을 위한 국내 도서 선정은 지자체별 이해관계와 지역발전계획에 따라 첨예한 논란을 수반할 소지가 있다. 입지 선정 절차상에서 예비후보지 선정과정이 형식적이거나 입지선정기준이 없어 입지선정을 위한 평가항목, 평가기준, 항목별 배점 등이 분석자의 의도에 따라 조정될 수 있는 문제점이 있다. 또한 각 지역에 대한 입지선정을 위한 기준이 있다 하더라도 추상적이거나 객관적이지 않은 기준이 많아 입지선정에 직접 적용하기 어렵고, 자연환경, 사회경제, 법제, 입지조건, 부하특성, 지자체 호응 등 인자들의 평가의 형평성이 결여될 수 있다. 이를 해결하기 위해 의사결정도구로 이용되는 계층분석법(AHP)을 입지선정절차에 적용하였다. 객관적인 정보가 제공 가능한 평가항목을 설정하고, 관련 전문가들의 설문조사를 통하여 주관적인 중요도 결과를 취합하였다. 이 결과를 계층분석법을 활용하여 평가항목별 가치를 측정하여 가중치를 부여하였고, Green City 실증단지 구현을 위한 후보도서의 순위를 제시하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.04b
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• pp.289-293
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• 1993

연소가공은 가공에 관계하는 변수가 많기 때문에 트라블 요인을 쉽게 파악하기 힘들다. 트라블의 원인을 탐색해서 처리하는 경우에도 정량적으로 정확한 값을 User에게 제공하기는 어렵다. 따라서 대부분 생산시스템에 활용할때 숙련자가 행하는 것 같이하기 위한 유용한 수단이 엑스퍼트 시스템( Expert System)이다. 본 연구는 연삭가공의 Burning과 Chatter vibration의 진단 . 처리에 대하여 폴트 진단모델 과 계층분석법을 이용하여 Prototype적인 시스템을 구축하였다. 또한, 각 노드에 대한 데이타 분석에 있어, 계층분석법을 이용함으로써 정량적이고 애매한 지식을 객관적으로 처리 하였으며, 각각의 노드에 대하여 중요도를 부여함으로써 데이타 베이스와 추론시간의 성력화를 도모하였다.

• International Journal of Highway Engineering
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• v.10 no.3
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• pp.69-77
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• 2008

This article proposes new method for estimating pedestrian quality of service(QOS) that is useful to changing pedestrian environment by examining pedestrian quality of service as well as developing new method that integrate qualitative variables into the estimating indicators for the pedestrian movement right. Based on survey questionnaire addressed to experts group, the obtained data for the indicators were analyzed through Analytic Hierarchy Process(AHP). The results show that pedestrian traffic flow(quantitative figure: 52%), sidewalk geometric(quantitative figure: 16%), sidewalk usage behavior(qualitative figure: 11%) in commercial and business zone pointed out the importance of quantitative indicators such as pedestrian traffic flow, and sidewalk geometric. In addition, the results also show that pedestrian traffic flow(quantitative figure: 30%), sidewalk geometric(quantitative figure : 22%), sidewalk usage behavior(qualitative figure: 20%) indicate the significance of qualitative indicators such as pedestrian's sidewalk usage.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.1
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• pp.83-88
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• 2010

This paper has analyzed Seoul metropolitan area on the basis of cluster characteristics and it is to understand the traits of each clusters. In order to modelize the area, 10 different indicators were selected among components of a city such as population, activities, land and facilities. Also through principal component analysis, similar characteristics or congenialities of the variables were derived as a common factor. The result was organized by factor score from hierarchical clustering method and as a final result, metropolitan area was clustered into five areas.