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020 ▼a 9780438371040
035 ▼a (MiAaPQ)AAI10841159
035 ▼a (MiAaPQ)uchicago:14501
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 510
1001 ▼a Chai, Wei.
24510 ▼a Random Topological Structures.
260 ▼a [S.l.] : ▼b The University of Chicago., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 105 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Shmuel Weinberger.
5021 ▼a Thesis (Ph.D.)--The University of Chicago, 2018.
520 ▼a Data science is a recent focus across many fields such as mathematics, statistics and computer sciences aiming at discovering and understand patterns from data. Topological data analysis (TDA) is a solution to discover the underlying topological
520 ▼a The first part of this thesis is on the random coverage. We estimate the number of data points to cover an underlying manifold with possibly boundaries or singularities and with possibly non-uniform probability distribution. In general, the expe
520 ▼a The second part is about the thresholds of correct Cech homology on a flat torus Td. The thresholds are estimated by the critical points of distance function and Morse theory. This thesis examines a special type of critical points and makes an i
520 ▼a The last part proposes a method to detect topological periodicity in a time series. Topological periodicity allows distortion of the function's domain. The proposed method is about encoding the topological information of a function by a tree. Co
590 ▼a School code: 0330.
650 4 ▼a Mathematics.
690 ▼a 0405
71020 ▼a The University of Chicago. ▼b Mathematics.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0330
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999771 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자