Publications

Detailed Information

On the minimal number of sample points and the persistence of the Vietoris-Rips complex : Vietoris-Rips complex의 최소 표본점과 persistence에 대하여

DC Field Value Language
dc.contributor.advisorOtto van Koert-
dc.contributor.author정효진-
dc.date.accessioned2022-04-20T02:47:40Z-
dc.date.available2022-04-20T02:47:40Z-
dc.date.issued2021-
dc.identifier.other000000167556-
dc.identifier.urihttps://hdl.handle.net/10371/178187-
dc.identifier.urihttps://dcollection.snu.ac.kr/common/orgView/000000167556ko_KR
dc.description학위논문(박사) -- 서울대학교대학원 : 자연과학대학 수리과학부, 2021.8. Otto van Koert.-
dc.description.abstract최근 위상적 자료분석 방법은 데이터 분석에 각광받고 있다. 이 논문에서는 데이터의 모형을 분석하기 위하여 Vietoris-Rips complex와 persistent 호몰로지를 연구하였다. 특별히, Vietoris-Rips complex구조가 주어진 데이터가 n차원 구와 같은 호몰로지를 갖을 수 있다고 할 때, 필요한 최소한의 데이터 양을 산출해냈다.-
dc.description.abstractRecently topological data analysis become a popular tool to analyze data. In this paper, we study the behaviour of Vietoris-Rips complex with persistent homology to figure out the shape of data. In particular, we find the minimal number of data points on a sphere such that homology of the Vietoris-Rips complex of those data points is isomorphic to the homology of the sphere.-
dc.description.tableofcontents1 Introduction 1
2 Preliminaries 4
2.1 Nerve theorem with Vietoris-Rips complex 15
3 Persistence 17
3.1 Persistent homology 17
3.1.1 Tameness and barcodes 19
3.2 The Isometry theorem 25
4 2n-problem 29
4.1 Examples 30
4.2 Minimal Construction for S^2 33
4.3 Another proof of Minimal Construction for S^2 42
4.4 6 points probability for S^2 44
4.4.1 Script for 6 points probability 44
4.4.2 Bootstrap Con fidence Intervals 47
4.5 Vietoris-Rips complex for S^n 49
5 The Vietoris-Rips complex on a circle S^1 53
6 Reliable barcodes 59
6.1 On the length of barcodes 59
6.1.1 Mission impossible 60
6.1.2 Basic assumptions 61
6.1.3 Further assumptions 61
6.1.4 Convex balls and curvature 62
6.1.5 Background from metric geometry 65
6.1.6 Persistent homology of the Vietoris-Rips complex 67
6.2 Application to data 67
6.2.1 Revisiting the cube 68
6.2.2 Discretized curvature 69
7 Appendix 73
7.1 Notation and Conventions 73
7.2 Background from Probability 78
7.3 Scripts to compute persistent homology 82
Bibliography 84
Abstract (in Korean) 87
-
dc.format.extentiii,87-
dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subjectVietoris-Rips complex-
dc.subjectpersistence module-
dc.subjectpersistent homology-
dc.subjectNerve theorem-
dc.subjectTDA-
dc.subjectpersistence 모듈-
dc.subjectpersistent 호몰로지-
dc.subjectNerve 이론-
dc.subject위상적 자료 분석-
dc.subject.ddc510-
dc.titleOn the minimal number of sample points and the persistence of the Vietoris-Rips complex-
dc.title.alternativeVietoris-Rips complex의 최소 표본점과 persistence에 대하여-
dc.typeThesis-
dc.typeDissertation-
dc.contributor.AlternativeAuthorJung Hyojin-
dc.contributor.department자연과학대학 수리과학부-
dc.description.degree박사-
dc.date.awarded2021-08-
dc.contributor.major위상수학-
dc.identifier.uciI804:11032-000000167556-
dc.identifier.holdings000000000046▲000000000053▲000000167556▲-
Appears in Collections:
Files in This Item:

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share