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Ng, Shu-Kay, Tawiah, Richard, McLachlan, Geoffrey J. (2019) Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. Pattern Recognition, 88. 261-271 doi:10.1016/j.patcog.2018.11.022

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Reference TypeJournal (article/letter/editorial)
TitleUnsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework
JournalPattern Recognition
AuthorsNg, Shu-KayAuthor
Tawiah, RichardAuthor
McLachlan, Geoffrey J.Author
Year2019 (April)Volume88
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.11.022Search in ResearchGate
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Mindat Ref. ID9367661Long-form Identifiermindat:1:5:9367661:4
GUID0
Full ReferenceNg, Shu-Kay, Tawiah, Richard, McLachlan, Geoffrey J. (2019) Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. Pattern Recognition, 88. 261-271 doi:10.1016/j.patcog.2018.11.022
Plain TextNg, Shu-Kay, Tawiah, Richard, McLachlan, Geoffrey J. (2019) Unsupervised pattern recognition of mixed data structures with numerical and categorical features using a mixture regression modelling framework. Pattern Recognition, 88. 261-271 doi:10.1016/j.patcog.2018.11.022
In(2019) Pattern Recognition Vol. 88. Elsevier BV

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