Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/22461
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dc.contributor.authorHuang, L-
dc.contributor.authorGan, L-
dc.contributor.authorLing, BW-K-
dc.date.accessioned2021-03-16T19:22:18Z-
dc.date.available2021-03-16T19:22:18Z-
dc.date.issued2021-
dc.identifier.issn1534-4320-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/22461-
dc.description.sponsorshipNational Nature Science Foundation of China, Team Project of the Education Ministry of the Guangdong Province, Guangdong Higher Education Engineering Technology Research Center for Big Data on Manufacturing Knowledge Patent , Guangdong Province Intellectual Property Key Laboratory Project, Hong Kong Innovation and Technology Commission, Enterprise Support Scheme, China Scholarship Council (CSC).en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectSpike sortingen_US
dc.subjectPCAen_US
dc.subjectK-meansen_US
dc.subjectUnified optimizationen_US
dc.titleA unified optimization model of feature extraction and clustering for spike sortingen_US
dc.typeArticleen_US
dc.relation.isPartOfIEEE Transactions on Neural Systems and Rehabilitation Engineering-
pubs.publication-statusAccepted-
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