• 제목/요약/키워드: Means

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영상의 클러스터 수 결정과 변형된 퍼지 c-Means 클러스터링을 이용한 영역 분할 (Determination of the Count of Clusters and Image Segmentation using Modified Fuzzy c-Means Clustering Algorithm)

  • 윤후병;정성종;안동언
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2000년도 봄 학술발표논문집 Vol.27 No.1 (B)
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    • pp.598-600
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    • 2000
  • 영상에 존재하는 객체들을 인식하기 위해서는 먼저 영상의 영역 분할이 필요하다. 통계적 모델을 이용한 영상의 영역 분할은 미리서 분할하고자 하는 클러스터의 수를 결정한 후 이를 토대로 영상을 분할하게 된다. 그러나 영상마다 특성상 분할하고자 하는 클러스터 수가 다를 경우 이를 수동적으로 해주는 것은 비능률적이다. 따라서 본 논문은 영상의 영역 분할에 통계적 모델에서 미리 결정해줘야 하는 클러스터의 수 문제를 자동으로 검출하고 퍼지 c-Means 클러스터링 알고리즘을 통한 영상의 영역 분할 시 노이즈 문제를 이웃한 픽셀들의 멤버쉽 값을 평균화함으로써 해결하는 방법을 제안하였다.

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Fuzzy C-means 클러스터링 기법을 이용한 콘 관입 데이터의 해석 (Analysis of Cone Penetration Data Using Fuzzy C-means Clustering)

  • 우철웅;장병욱;원정윤
    • 한국농공학회지
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    • 제45권3호
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    • pp.73-83
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    • 2003
  • Methods of fuzzy C-means have been used to characterize geotechnical information from static cone penetration data. As contrary with traditional classification methods such as Robertson classification chart, the FCM expresses classes not conclusiveness but fuzzy. The results show that the FCM is useful to characterize ground information that can not be easily found by using normal classification chart. But optimal number of classes may not be easily defined. So, the optimal number of classes should be determined considering not only technical measures but engineering aspects.

초기화하지 않은 K-means iteration을 이용한 고립단어 인식 (Isolated Words Recognition using K-means iteration without Initialization)

  • 김진영;성굉모
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.7-9
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    • 1988
  • K-means iteration method is generally used for creating the templates in speaker-independent isolated-word recognition system. In this paper the initialization method of initial centers is proposed. The concepts are sorting and trace segmentation. All the tokens are sorted and segmented by trace segmentation so that initial centers are decided. The performance of this method is evaluated by isolated-word recognition of Korean digits. The highest recognition rate is 97.6%.

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Pre-Adjustment of Incomplete Group Variable via K-Means Clustering

  • Hwang, S.Y.;Hahn, H.E.
    • Journal of the Korean Data and Information Science Society
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    • 제15권3호
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    • pp.555-563
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    • 2004
  • In classification and discrimination, we often face with incomplete group variable arising typically from many missing values and/or incredible cases. This paper suggests the use of K-means clustering for pre-adjusting incompleteness and in turn classification based on generalized statistical distance is performed. For illustrating the proposed procedure, simulation study is conducted comparatively with CART in data mining and traditional techniques which are ignoring incompleteness of group variable. Simulation study manifests that our methodology out-performs.

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Wind tunnel test research on aerodynamic means of the ZG Bridge

  • He, Xiangdong;Xi, Shaozhong
    • Wind and Structures
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    • 제2권2호
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    • pp.119-125
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    • 1999
  • The ZG Bridge(preliminary design), with unfavorable aerodynamic stability characteristics, is a truss-stiffened suspension bridge, its critical wind speed of flutter instability is much lower than that of code requirement, In the present paper, based on both aerostatic and aeroelastic section model wind tunnel test, not only effects of some aerodynamic means on aerodynamic stability of its main girder are investigated, but also such effective aerodynamic means of it as flap and plate-like center stabilizer are concluded.

실험계획법에서 평균분석(ANOM)의 응용 (Application of Analysis of Means(ANOM) for Design of Experiment)

  • 최성운
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2008년도 춘계학술대회
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    • pp.283-293
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    • 2008
  • Analysis of Means(ANOM) is a visualization tool for comparing several means to the grand mean like control chart type. This paper reviews five ANOM methods for continuous data such as ANOM, ANOME (ANOM for Treatment Effects), ANCON (Analysis of Contrasts), ANOMV (ANOM for Variance), ANOMC (ANOM for Correaltion). Three ANOM tools for discrete data such as ANOMNP (ANOM for Nonconforming Proportions), ANOMNC (ANOM for Nonconforming Unit), ANOMNPU (ANOM for Nonconfirmities Per Unit) are also developed.

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Sagae-Tanabe Weighted Means and Reverse Inequalities

  • Ahn, Eunkyung;Kim, Sejung;Lee, Hosoo;Lim, Yongdo
    • Kyungpook Mathematical Journal
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    • 제47권4호
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    • pp.595-600
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    • 2007
  • In this paper we consider weighted arithmetic and geometric means of several positive definite operators proposed by Sagae and Tanabe and we establish a reverse inequality of the arithmetic and geometric means via Specht ratio and the Thompson metric on the convex cone of positive definite operators.

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Control Charts for Means and Variances under Multivariate Normal Process

  • Chang, Duk-Joon;Kwon, Yong-Man
    • Journal of the Korean Data and Information Science Society
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    • 제10권1호
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    • pp.223-232
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    • 1999
  • Multivariate quality control charts with combine-accumulate approach and accumulate-combine apprach for monitoring both means and variances under multivariate normal process are investigated. Numerical performances of the charts show that multivariate EWMA chart with accumulate-combine approach can be recommended for all kinds of shift in means and variances.

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Bayes Estimation of Two Ordered Exponential Means

  • Hong, Yeon-Woong;Kwon, Yong-Mann
    • Journal of the Korean Data and Information Science Society
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    • 제15권1호
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    • pp.273-284
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    • 2004
  • Bayes estimation of parameters is considered for two independent exponential distributions with ordered means. Order restricted Bayes estimators for means are obtained with respect to inverted gamma, noninformative prior and uniform prior distributions, and their asymptotic properties are established. It is shown that the maximum likelihood estimator, restricted maximum likelihood estimator, unrestricted Bayes estimator, and restricted Bayes estimator of the mean are all consistent and have the same limiting distribution. These estimators are compared with the corresponding unrestricted Bayes estimators by Monte Carlo simulation.

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