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
Comparison of K-means and K-medoids in Tourist Attraction C..:
, In:
2022 International Conference of Science and Information Technology in Smart Administration (ICSINTESA)
,
Jauhari, Achmad
;
Rahabillah, Mohammad Rizal
;
Anamisa, Devie Rosa
... - p. 161-166 , 2022
Link:
https://doi.org/10.1109/ICSINTESA56431.2022.10041666
RT T1 <cTitle>2022 International Conference of Science and Information Technology in Smart Administration (ICSINTESA)</cTitle>: T1 <Title>Comparison of K-means and K-medoids in Tourist Attraction Clustering based on Visitor Characteristics</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10041666&Exemplar=1&LAN=DE A1 Jauhari, Achmad A1 Rahabillah, Mohammad Rizal A1 Anamisa, Devie Rosa A1 Haq, Ahmad Farisul A1 Mufarroha, Fifin Ayu A1 Purnama, Alief Akbar YR 2022 K1 Education K1 Clustering algorithms K1 Partitioning algorithms K1 Data mining K1 Information technology K1 K-Means K1 K-Medoids K1 Clustering K1 Visitor Characteristics SP 161 OP 166 LK http://dx.doi.org/https://doi.org/10.1109/ICSINTESA56431.2022.10041666 DO https://doi.org/10.1109/ICSINTESA56431.2022.10041666 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
