2023
DOI: 10.3390/app131810050
|View full text |Cite
|
Sign up to set email alerts
|

Double-Constrained Consensus Clustering with Application to Online Anti-Counterfeiting

Claudio Carpineto,
Giovanni Romano

Abstract: Semi-supervised consensus clustering is a promising strategy to compensate for the subjectivity of clustering and its sensitivity to design factors, with various techniques being recently proposed to integrate domain knowledge and multiple clustering partitions. In this article, we present a new approach that makes double use of domain knowledge, namely to build the initial partitions, as well as to combine them. In particular, we show how to model and integrate must-link and cannot-link constraints into the o… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 53 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?