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Ailem, Melissa, Role, François, Nadif, Mohamed (2017) Model-based co-clustering for the effective handling of sparse data. Pattern Recognition, 72. 108-122 doi:10.1016/j.patcog.2017.06.005

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Reference TypeJournal (article/letter/editorial)
TitleModel-based co-clustering for the effective handling of sparse data
JournalPattern Recognition
AuthorsAilem, MelissaAuthor
Role, FrançoisAuthor
Nadif, MohamedAuthor
Year2017 (December)Volume72
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.06.005Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367081Long-form Identifiermindat:1:5:9367081:4
GUID0
Full ReferenceAilem, Melissa, Role, François, Nadif, Mohamed (2017) Model-based co-clustering for the effective handling of sparse data. Pattern Recognition, 72. 108-122 doi:10.1016/j.patcog.2017.06.005
Plain TextAilem, Melissa, Role, François, Nadif, Mohamed (2017) Model-based co-clustering for the effective handling of sparse data. Pattern Recognition, 72. 108-122 doi:10.1016/j.patcog.2017.06.005
In(2017) Pattern Recognition Vol. 72. Elsevier BV

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Ailem, Melissa, Role, Francois, Nadif, Mohamed (2017) Sparse Poisson Latent Block Model for Document Clustering. IEEE Transactions on Knowledge and Data Engineering, 29 (7) 1563-1576 doi:10.1109/tkde.2017.2681669
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Ma, Muting; Yavuz, Mesut; Hudnall, Matthew; Wang, Qin (2026) C2SLM: A Correlation-based Clustering-assisted Sparse Learning Model for Electric Vehicle Market Demand Forecasting. Pattern Recognition, 170. doi:10.1016/j.patcog.2025.111984
Selosse, Margot, Jacques, Julien, Biernacki, Christophe (2020) Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognition, 103. 107315pp. doi:10.1016/j.patcog.2020.107315
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