Semi-supervised K-Means clustering for trajectory analysis in behavioural experiments

Vouros, Avgoustinos ORCID: https://orcid.org/0000-0002-3383-6133 (2020) Semi-supervised K-Means clustering for trajectory analysis in behavioural experiments. PhD thesis, University of Sheffield.

Abstract

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Keywords: behavioural experiments; k-means; semi-supervised clustering; trajectory analysis; clustering benchmark; water maze
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Computer Science (Sheffield)
The University of Sheffield > Faculty of Science (Sheffield) > Computer Science (Sheffield)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.826817
Depositing User: Dr Avgoustinos Vouros
Date Deposited: 23 Mar 2021 09:18
Last Modified: 01 May 2021 09:54

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