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Community Detection Using Total Variation and Surface Tension
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Boyd, Zachary Mark. |
| 단체저자명 | University of California, Los Angeles. Mathematics. |
| 서명/저자사항 | Community Detection Using Total Variation and Surface Tension. |
| 발행사항 | [S.l.] : University of California, Los Angeles., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 104 p. |
| 소장본 주기 | School code: 0031. |
| ISBN | 9780438414563 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B.
Adviser: Andrea Bertozzi. |
| 요약 | In recent years, a massive expansion in the amount of available network data in fields such as social networks, food networks in ecology, similarity networks in machine learning, transportation networks, brain networks, and many others has motiv |
| 요약 | Two of the most well-known frameworks for community detection are modularity optimization and stochastic block modeling. They can often uncover meaningful community structure in networks from diverse applications. However, both of these approach |
| 일반주제명 | Mathematics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International80-02B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T15001119 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026024 | 510 | 가야대학교// | 대출가능 |
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