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Search: subject:"supervised clustering"
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Cluster analysis
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Minkowski Distance
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Nonnegative matrix factorization
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Ahrens, Diane
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International Journal of Business Analytics (IJBAN)
2
Business & information systems engineering : BISE ; the international journal of Wirtschaftsinformatik
1
International journal of information systems and change management : IJISCM
1
Les cahiers du GERAD
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A variable neighborhood search heuristic for semi-supervised minimum sum-of-squares clustering
Midingoyi, Mahuton Hugues
;
Meneses, André
;
Aloise, Daniel
-
2026
Persistent link: https://www.econbiz.de/10015617912
Saved in:
2
Business process modeling abstraction based on semi-
supervised
clustering
analysis
Wang, Nan
;
Sun, Shanwu
;
Ouyang, Dantong
- In:
Business & information systems engineering : BISE ; the …
60
(
2018
)
6
,
pp. 525-542
Persistent link: https://www.econbiz.de/10011960819
Saved in:
3
Statistical bug localisation by
supervised
clustering
of program predicates
Feyzi, Farid
;
Parsa, Saeed
;
Nikravan, Esmaeel
- In:
International journal of information systems and change …
10
(
2018
)
2
,
pp. 190-206
Persistent link: https://www.econbiz.de/10011979023
Saved in:
4
Detection of Leading Experts from ResearchGate
Ben Ahmed, Eya
- In:
International Journal of Business Analytics (IJBAN)
5
(
2018
)
3
,
pp. 67-86
introduces a new hierarchical semi-
supervised
clustering
method based on ordinal density. The results of carried out experiments …
Persistent link: https://www.econbiz.de/10012043208
Saved in:
5
Supervised Regression Clustering: A Case Study for Fashion Products
Tehrani, Ali Fallah
;
Ahrens, Diane
- In:
International Journal of Business Analytics (IJBAN)
3
(
2016
)
4
,
pp. 21-40
approach for the goal
supervised
clustering
and show its advantage in terms of data analytics as well as prediction. To verify …
Persistent link: https://www.econbiz.de/10012043173
Saved in:
6
Semi-
supervised
clustering
algorithm for community structure detection in complex networks
Ma, Xiaoke
;
Gao, Lin
;
Yong, Xuerong
;
Fu, Lidong
- In:
Physica A: Statistical Mechanics and its Applications
389
(
2010
)
1
,
pp. 187-197
so-called SNMF-SS, by combining SNMF and a semi-
supervised
clustering
approach. Previous NMF-based algorithms often …
Persistent link: https://www.econbiz.de/10010590435
Saved in:
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