• Title/Summary/Keyword: 계층적 군집방법

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A Bibliometric Study on the KCI Listed Theological Journals (KCI 등재 신학 학술지에 대한 계량서지학적 분석)

  • Yoo, Yeong Jun;Lee, Jae Yun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.31 no.3
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    • pp.5-27
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    • 2020
  • This study aimed at analyzing the keywords and authors of the KCI listed theological journals and finding the official research performance of Korean theology. This study divided the periods in two according to how duplicate the authors are and found hierarchical clusters by analyzing 92 keywords using the McQuitty method. In analyzing them, the Ward linkage method was selected to prevent the authors from gathering into a small number of clusters. Also, to find how influential the journals were to the keywords, the keywords and the percentage of the journals in them were presented together. The authors were analyzed in terms of deciding the positions of them using normalized performance index representing the number of journals and growth index as a growth tendency. Especially, significant researchers were all reformed theologians in a growth index. In the analysis of the keywords of the KCI journals and the authors, the main subject terms of the Korean theology were related to systematic theology and the New Testament. By analyzing the KCI listed journals as the Korean official citation index, this study has made a difference to the advanced articles analyzing the non-KCI listed theological journals.

Parameter Regionalization of Semi-Distributed Runoff Model Using Multivariate Statistical Analysis (다변량 통계분석을 이용한 준분포형 유출모형 매개변수 지역화)

  • Lee, Byong-Ju;Jung, Il-Won;Bae, Deg-Hyo
    • Journal of Korea Water Resources Association
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    • v.42 no.2
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    • pp.149-160
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    • 2009
  • The objective of this study is to suggest parameter regionalization scheme which is integrated two multivariate statistical methods: principal components analysis(PCA) and hierarchical cluster analysis(HCA). This technique is to apply semi-distributed rainfall-runoff model on ungauged catchments. 7 catchment characteristics (area, mean altitude, mean slope, ratio of forest, water content at saturation, field capacity and wilting point) are estimated for 109 mid-sized sub-basins. The first two components from PCA results account for 82.11% of the total variance in the dataset. Component 1 is related to the location of the catchments relevant to the altitude and Component 2 is connected with the area of these. 103 ungauged catchments are clustered using HCA as the following 6 groups: Goesan 23, Andong 6, Imha 5, Hapcheon 21, Yongdam 4, Seomjin 44. SWAT model is used to simulate runoff and the parameters of the model on the 6 gauged basins are estimated. The model parameters were regionalized for Soyang, Chungju and Daecheong dam basins which are assumed as ungauged ones. The model efficiency coefficients of the simulated inflows for these three dams were at least 0.8. These results also mean that goodness of fit is high to the observed inflows. This research will contribute to estimate and analyze hydrologic components on the ungauged catchments.

More effective application of importance-performance analysis in the case of cyber lecture (중요도-실행도 분석의 효율적 활용에 대한 연구 - 온라인 수능강의에 대한 사례 연구)

  • Pak, Ro-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.2
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    • pp.329-338
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    • 2009
  • The importance performance analysis is a simple and condensed analytic method for decision making based on the level of performance or satisfaction. Many researches already have witnessed usefulness of the importance performance analysis, but it also has some drawbacks from the statistical points of view. In this article, some additional techniques dealing the importance performance analysis are introduced and it is shown that these techniques would turn out to be very informative. The importance performance analysis uses the arithmetic average as the main statistic, but by the use of the median, the frequency and the cluster analysis it is shown that the importance performance analysis can be carried out with more crucial information. In addtion to that, it is demonstrated that the combination of the analytic hierarchy process and importance performance analysis could enable more reliable decision making.

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Proposal of Cluster Head Election Method in K-means Clustering based WSN (K-평균 군집화 기반 WSN에서 클러스터 헤드 선택 방법 제안)

  • Yun, Dai Yeol;Park, SeaYoung;Hwang, Chi-Gon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.447-449
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    • 2021
  • Various wireless sensor network protocols have been proposed to maintain the network for a long time by minimizing energy consumption. Using the K-means clustering algorithm takes longer to cluster than traditional hierarchical algorithms because the center point must be moved repeatedly until the final cluster is established. For K-means clustering-based protocols, only the residual energy of nodes or nodes near the center point of the cluster is considered when the cluster head is elected. In this paper, we propose a new wireless sensor network protocol based on K-means clustering to improve the energy efficiency while improving the aforementioned problems.

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A News Video Mining based on Multi-modal Approach and Text Mining (멀티모달 방법론과 텍스트 마이닝 기반의 뉴스 비디오 마이닝)

  • Lee, Han-Sung;Im, Young-Hee;Yu, Jae-Hak;Oh, Seung-Geun;Park, Dai-Hee
    • Journal of KIISE:Databases
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    • v.37 no.3
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    • pp.127-136
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    • 2010
  • With rapid growth of information and computer communication technologies, the numbers of digital documents including multimedia data have been recently exploded. In particular, news video database and news video mining have became the subject of extensive research, to develop effective and efficient tools for manipulation and analysis of news videos, because of their information richness. However, many research focus on browsing, retrieval and summarization of news videos. Up to date, it is a relatively early state to discover and to analyse the plentiful latent semantic knowledge from news videos. In this paper, we propose the news video mining system based on multi-modal approach and text mining, which uses the visual-textual information of news video clips and their scripts. The proposed system systematically constructs a taxonomy of news video stories in automatic manner with hierarchical clustering algorithm which is one of text mining methods. Then, it multilaterally analyzes the topics of news video stories by means of time-cluster trend graph, weighted cluster growth index, and network analysis. To clarify the validity of our approach, we analyzed the news videos on "The Second Summit of South and North Korea in 2007".

Load Forecasting using Hierarchical Clustering Method for Building (계층적 군집분석방법을 활용한 건물 부하의 전력수요예측)

  • Hwang, Hye-Mi;Lee, Sung-Hee;Park, Jong-Bae;Park, Yong-Gi;Son, Sung-Yong
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.1
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    • pp.41-47
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    • 2015
  • In recent years, energy supply cases to take advantage of EMS(Energy Management System) are increasing according to high interest of energy efficiency. The important factor for essential and economical EMS operation is the supply and demand plan the hourly power demand of building load using the hierarchical clustering method of variety statistical techniques, and use the real historical data of target load. Also the estimated results of study are obtained the reliability through separate tests of validity.

A System for the Decomposition of Text Block into Words (텍스트 영역에 대한 단어 단위 분할 시스템)

  • Jeong, Chang-Boo;Kwag, Hee-Kue;Jeong, Seon-Hwa;Kim, Soo-Hyung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2000.10a
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    • pp.293-296
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    • 2000
  • 본 논문에서는 주제어 인식에 기반한 문서영상의 검색 및 색인 시스템에 적용하기 위한 단어 단위 분한 시스템을 제안한다. 제안 시스템은 영상 전처리, 문서 구조 분석을 통해 추출된 텍스트 영역을 입력으로 단어 단위 분할을 수행하는데, 텍스트 영역에 대해 텍스트 라인을 분할하고 분할된 텍스트 라인을 단어 단위로 분할하는 계층적 접근 방법을 사용한다. 텍스트라인 분할은 수평 방향 투영 프로파일을 적용하여 분할 지점을 구한다. 그리고 단어 분할은 연결요소들을 추출한 후 연결요소간의 gap 정보를 구하고, gap 군집화 기법을 사용하여 단어 단위 분한 지점을 구한다. 이때 단어 단위 분할의 성능을 저하시키는 특수기호에 대해서는 휴리스틱 정보를 이용하여 검출한다. 제안 시스템의 성능 평가는 50개의 텍스트 영역에 적용하여 99.83%의 정확도를 얻을 수 있었다.

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Phytosociological Studies for Vegetation Conservation of Pine Forest (식생보전을 위한 소나무림의 식물사회학적 연구)

  • 배병호;이호준
    • The Korean Journal of Ecology
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    • v.22 no.1
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    • pp.21-29
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    • 1999
  • This study was carried out to clarify the syntaxonomy of the pine forest in Youngdong region by the phytosociological methods. As a result of the investigation of 62 quadrats, Pinus densiflora forest was classified into four subassociations: Typical subassociation, Quercus mongolica subassociation, Rhododendron mucronulatum subassociation, Rhus chinensis subassociation. Many differences in ecological characteristics such as species composition, stratum structure, vegetation coverage and of diameter at breast height(DBH) of class distribution were found among the communities. Soil properties of the pine forest on the study area was relatively poor compared with other pine forests, especially, soil pH was strongly acidic with 4.87. Soil conditions among the subassociations appeared different. Future succession of pine forest by the similarity index of communities was proposed. Estimated degree of green naturality for Typical subassociation and Q. mongolica subassociation correspond to 7th grade, and R. mucronulatum subassociation, 8-1st grade, and R. chinensis subassociation, 8-2nd grade.

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Association Mining based Visualization Method for Health Examination Results (연관분석에 기반한 건강검진결과 시각화 방법)

  • Kim, Jun-Woo;Park, Sang-Chan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.01a
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    • pp.281-282
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    • 2014
  • 병의원에서 다양한 정보시스템을 도입하면서 환자들과 관련된 방대한 의료 데이터들이 전자적인 형태로 축적되어 왔고, 최근에는 의료진이나 환자에게 적절한 정보를 제공하는데 이러한 데이터를 활용하고자 하는 노력이 이어지고 있다. 그러나 의료 데이터는 분량이 방대하고 전문적인 내용을 다루기 때문에 이에 기반한 정보를 개인 환자에게 제공하는데 있어서는 데이터에 포함된 내용을 사용자의 이해가 편리한 형태로 가공하는 것이 중요하다. 이에 본 논문에서는 연관분석과 관련된 행렬 기반 표현 방법을 기반으로 한 하이브리드 시각화 방법을 개발하고, 이를 건강검진 결과에 적용하는 것을 제안하고자 한다.

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An Application of FCM(Fuzzy C-Means) for Clustering of Asian Ports Competitiveness Level and Status of Busan Port (FCM법을 이용한 아시아 항만의 경쟁력 수준 분류와 부산항의 위상)

  • 류형근;이홍걸;여기태
    • Journal of Korean Society of Transportation
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    • v.21 no.5
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    • pp.7-18
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    • 2003
  • Due to the changes of shipping and logistic environment, Asian ports today face severe competition. To be a mega-hub port, Asian ports have achieved a big scale development. For these reasons, it has been widely recognized as an important study to analyze and evaluate characteristics of Asian ports, from the standpoint of Korea where Busan Port is located. Although some previous studies have been reported, most of them have been beyond the scope of Asian ports and analyzed the world's major ports; moreover, the studied ports have been about the ports which are well known from the previous research and reports. So, most studies is unlikely to be used as substantial indicators from the perspective of Busan Port. In addition. most of the existing studies have used hierarchical evaluation algorithm for port ranking, such as AHP (analytical hierarchy process) and clustering analysis. However, these two methods have fundamental weaknesses from the algorithm perspective. The aim of this study is to classify major Asian ports based on competitiveness level. Especially. in order to overcome serious problem of the existing studies, major Asian ports were analyzed by using objective indicators. and Fuzzy C-Means algorithm, which alleviates the weakness of the clustering method. It was found that 10 ports of 16 major Asian ports have their own phases and were classified into 4 port groups. This result implies that some ports have higher potential as ports to lead some zones in Asia. Based on those results. present status and future direction of Busan port were discussed as well.