I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
HaVAT: Automatic Cluster Structure Assessment in Unlabeled ..:
, In:
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)
,
Pagadala, Krishna Murthy
;
Rathore, Punit
- p. 45-53 , 2024
Link:
https://dl.acm.org/doi/10.1145/3632410.3632447
RT T1 <cTitle>Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)</cTitle>: T1 <Title>HaVAT: Automatic Cluster Structure Assessment in Unlabeled data</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3632447&Exemplar=1&LAN=DE A1 Pagadala, Krishna Murthy A1 Rathore, Punit PB ACM YR 2024 K1 cluster analysis K1 cluster structure assessment K1 pattern recognition K1 unsupervised learning K1 Information systems K1 Computing methodologies K1 Information systems applications K1 Machine learning K1 Data mining K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis SP 45 OP 53 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3632410.3632447 DO https://dl.acm.org/doi/10.1145/3632410.3632447 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
