MARC보기
LDR01485nmm uu200373 4500
001000000332877
00520240805171745
008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438237490
035 ▼a (MiAaPQ)AAI10809058
035 ▼a (MiAaPQ)coe.neu:10980
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 621.3
1001 ▼a Liu, Hongfu.
24510 ▼a K-means-based Consensus Clustering: Algorithms, Theory and Applications.
260 ▼a [S.l.] : ▼b Northeastern University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 174 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Yun Fu.
5021 ▼a Thesis (Ph.D.)--Northeastern University, 2018.
520 ▼a Consensus clustering aims to find a single partition which agrees as much as possible with existing basic partitions, which emerges as a promising solution to find cluster structures from heterogeneous data. It has been widely recognized that co
590 ▼a School code: 0160.
650 4 ▼a Computer engineering.
690 ▼a 0464
71020 ▼a Northeastern University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0160
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997853 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자