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A method getting the transitive kNN graph of a kNN graph preserving topology

DC Field Value Language
dc.contributor.advisor강명주-
dc.contributor.author박정호-
dc.date.accessioned2020-10-13T04:02:21Z-
dc.date.available2020-10-13T04:02:21Z-
dc.date.issued2020-
dc.identifier.other000000162183-
dc.identifier.urihttps://hdl.handle.net/10371/170703-
dc.identifier.urihttp://dcollection.snu.ac.kr/common/orgView/000000162183ko_KR
dc.description학위논문 (석사) -- 서울대학교 대학원 : 자연과학대학 수리과학부, 2020. 8. 강명주.-
dc.description.abstractIn this paper, we recall some previous research of a bijection between transitive
directed graphs and topologies on a finite set. In data science area, k Nearest Neighbor(kNN) graph is a widely used graph. It can be interpreted by a directed graph in the sense of in and out degrees. kNN graph is not
transitive in general. Adding or eliminating edges, there are various methods to get a transitive directed graph from a given kNN graph. In this paper, we prove that there is a unique way which make a transitive directed graph preserving topology. Moreover, we suggest a simple method to make the transitive directed graph without computing the topology of a given kNN graph.
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dc.description.abstract이 학위 논문에서는 유한집합 위에서의 위상들과 transitive 유향그래프의 일대일대응에 관련된 내용들을 상기한다. kNN 그래프는 데이터를 활용한 과학 분야에서 널리 사용된다. 우리는 kNN그래프의 in-degree와 out-degree를 기준으로 kNN그래프를 유향그래프로 해석할 수 있다. 하지만 일반적으로 kNN그래프는 transitive 유향그래프가 아니고 주어진 kNN그래프의 간선을 추가하거나 빼는 등 다양한 방법으로 transitive 유향그래프를 만들 수 있다. 이 학위 논문을 통해서 우리는 위상을 보존하는 transitive 유향그래프를 얻는 방법이 유일함을 증명하고 구체적인 방법을 제시한다. 더 나아가서 위상의 계산 없이 transitive kNN그래프를 구하는 계산 알고리즘을 제안한다.-
dc.description.tableofcontents1 Introduction, 1

2 Preliminaries, 2
2.1 Notions of finite directed graphs, 2
2.2 Adjacency matrices, 4
2.3 Notions of finite topological spaces, 6
2.4 A Bijection between transitive directed graph and topology, 8
2.5 Local Maximum Feature selection Algorithm, 10

3 Algorithm getting a transitive directed graph from a directed graph, 12
3.1 A transitive directed subgraph preserving corresponding topology, 12
3.2 Explicit rule to compute the transitive directed subgraph preserving corresponding topology, 14
3.3 Computation algorithm via adjacency matrix,15

4 Transitive kNN subgraph of a kNN graph, 17

5 Conclusion, 18

References, 19

Abstract (in Korean), 20
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dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subjectkNN graph-
dc.subjecttransitive directed graph-
dc.subjectfinite topology-
dc.subjectkNN그래프-
dc.subjecttransitive 유향그래프-
dc.subject유한위상-
dc.subject.ddc510-
dc.titleA method getting the transitive kNN graph of a kNN graph preserving topology-
dc.typeThesis-
dc.typeDissertation-
dc.contributor.department자연과학대학 수리과학부-
dc.description.degreeMaster-
dc.date.awarded2020-08-
dc.identifier.uciI804:11032-000000162183-
dc.identifier.holdings000000000043▲000000000048▲000000162183▲-
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