kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types
dc.contributor.author | Konstantinos Gratsos | |
dc.contributor.author | Stefanos Ougiaroglou | |
dc.contributor.author | Dionisis Margaris | |
dc.date.accessioned | 2024-06-17T17:45:04Z | |
dc.date.available | 2024-06-17T17:45:04Z | |
dc.date.issued | 2023 | |
dc.description.abstract | http://orcid.org/0000-0002-7487-374X | en |
dc.identifier.uri | https://dspace.iee.ihu.gr/handle/123456789/9823 | |
dc.publisher | MDPI AG | en |
dc.title | kClusterHub: An AutoML-Driven Tool for Effortless Partition-Based Clustering over Varied Data Types | en |
dc.title.alternative | Future Internet | en |
dc.type | journal-article | en |
relation.isAuthorOfPublication | e286a9e9-9288-494f-aa08-6165d00af4d5 | |
relation.isAuthorOfPublication |