SurvivalLVQ: Interpretable supervised clustering and prediction in survival analysis via Learning Vector Quantization

dc.contributor.author	de Boer, Jasper
dc.contributor.author	Dedja, Klest
dc.contributor.author	Vens, Celine
dc.contributor.imecauthor	de Boer, Jasper
dc.contributor.imecauthor	Dedja, Klest
dc.contributor.imecauthor	Vens, Celine
dc.contributor.orcidimec	de Boer, Jasper::0000-0002-1093-7409
dc.contributor.orcidimec	Dedja, Klest::0000-0001-5280-6717
dc.contributor.orcidimec	Vens, Celine::0000-0003-0983-256X
dc.date.accessioned	2024-11-26T11:28:51Z
dc.date.available	2024-06-04T18:20:04Z
dc.date.available	2024-11-26T11:28:51Z
dc.date.embargo	2024-10-15
dc.date.issued	2024
dc.description.wosFundingText	The authors acknowledge the support from the Flemish Government (through the AI Research Program) and the Research Fund Flanders (project G0A2120N) .
dc.identifier.doi	10.1016/j.patcog.2024.110497
dc.identifier.issn	0031-3203
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/43982
dc.publisher	ELSEVIER SCI LTD
dc.source.beginpage	Art. 110497
dc.source.endpage	N/A
dc.source.issue	September
dc.source.journal	PATTERN RECOGNITION
dc.source.numberofpages	10
dc.source.volume	153
dc.subject.keywords	CLASSIFICATION
dc.subject.keywords	TREES
dc.title	SurvivalLVQ: Interpretable supervised clustering and prediction in survival analysis via Learning Vector Quantization
dc.type	Journal article
dspace.entity.type	Publication
Files	Original bundle Name: SurvivalLVQ_Author_Accepted_version.pdf Size: 960.49 KB Format: Adobe Portable Document Format Description: Accepted version Download
Publication available in collections:	Articles

Date