RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • Revealing community structures by ensemble clustering using group diffusion

        Ivannikova, Elena,Park, Hyunwoo,,,,inen, Timo,Lee, Kichun Elsevier 2018 Information fusion Vol.42 No.-

        <P><B>Abstract</B></P> <P>We propose an ensemble clustering approach using group diffusion to reveal community structures in data. We represent data points as a directed graph and assume each data point belong to single cluster membership instead of multiple memberships. The method is based on the concept of ensemble group diffusion with a parameter to represent diffusion depth in clustering. The ability to modulate the diffusion-depth parameter by varying it within a certain interval allows for more accurate construction of clusters. Depending on the value of the diffusion-depth parameter, the presented approach can determine very well both local clusters and global structure of data. At the same time, the ability to combine single outcomes of the method results in better cluster segmentation. Due to this property, the proposed method performs well on data sets where other conventional clustering methods fail. We test the method with both simulated and real-world data sets. The results support our theoretical conjectures on improved accuracy compared to other selected methods.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Robust clustering results by integrating views from individual diffusion scales. </LI> <LI> Regulating cluster sizes by an admitted group dependence level. </LI> <LI> Handling directed graphs. </LI> <LI> Flexibility in the tuning of the parameters. </LI> <LI> Adaptation to datasets with various underlying structure and density properties. </LI> </UL> </P>

      • KCI등재

        Correlation defects of macrostructure with morphology of BGO crystals grown by low thermal gradient Czochralski technique

        Shlegel, V.N.,Shubin, Yu.V.,Ivannikova, N.V. The Korea Association of Crystal Growth 2003 韓國結晶成長學會誌 Vol.13 No.1

        In the present work we consider morphological structure of the faces of BGO crystals grown by Czochralski technique under the conditions of low temperature gradient (0.1~1 deg/cm) and interconnection between the morphological features of faces at the crystallization front and the formation of defects within the crystal volume. It is demonstrated that the {112} faces retain stability while the growing surface deviates from the crystallographic (112) plane up to 1 degree. At larger deviation, the region of the stable facet growth passes either to the region of macrosteps or to the region of normal growth. depending on conditions.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼