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Allab, Kais, Labiod, Lazhar, Nadif, Mohamed (2017) Multi-manifold matrix decomposition for data co-clustering. Pattern Recognition, 64. 386-398 doi:10.1016/j.patcog.2016.11.027

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Reference TypeJournal (article/letter/editorial)
TitleMulti-manifold matrix decomposition for data co-clustering
JournalPattern Recognition
AuthorsAllab, KaisAuthor
Labiod, LazharAuthor
Nadif, MohamedAuthor
Year2017 (April)Volume64
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2016.11.027Search in ResearchGate
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Mindat Ref. ID9366859Long-form Identifiermindat:1:5:9366859:0
GUID0
Full ReferenceAllab, Kais, Labiod, Lazhar, Nadif, Mohamed (2017) Multi-manifold matrix decomposition for data co-clustering. Pattern Recognition, 64. 386-398 doi:10.1016/j.patcog.2016.11.027
Plain TextAllab, Kais, Labiod, Lazhar, Nadif, Mohamed (2017) Multi-manifold matrix decomposition for data co-clustering. Pattern Recognition, 64. 386-398 doi:10.1016/j.patcog.2016.11.027
In(2017) Pattern Recognition Vol. 64. Elsevier BV

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Allab, Kais, Labiod, Lazhar, Nadif, Mohamed (2017) Erratum to ‘Multi-Manifold Matrix Decomposition for Data Co-clustering’ Pattern Recognition 64 (2017) 386–398. Pattern Recognition, 69. 352-353 doi:10.1016/j.patcog.2017.03.017
Allab, Kais, Labiod, Lazhar, Nadif, Mohamed (2017) A Semi-NMF-PCA Unified Framework for Data Clustering. IEEE Transactions on Knowledge and Data Engineering, 29 (1) 2-16 doi:10.1109/tkde.2016.2606098
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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
Fettal, Chakib, Labiod, Lazhar, Nadif, Mohamed (2024) Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Transactions on Knowledge and Data Engineering, 36 (3) 960-971 doi:10.1109/tkde.2023.3300814
Boutalbi, Rafika, Labiod, Lazhar, Nadif, Mohamed (2021) Implicit consensus clustering from multiple graphs. Data Mining and Knowledge Discovery, 35 (6) 2313-2340 doi:10.1007/s10618-021-00788-y
Luong, Khanh, Nayak, Richi, Balasubramaniam, Thirunavukarasu, Bashar, Md Abul (2022) Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering. Pattern Recognition, 131. 108815 doi:10.1016/j.patcog.2022.108815
Huang, Shudong, Kang, Zhao, Xu, Zenglin (2020) Auto-weighted multi-view clustering via deep matrix decomposition. Pattern Recognition, 97. 107015pp. doi:10.1016/j.patcog.2019.107015
Hanczar, Blaise, Nadif, Mohamed (2012) Ensemble methods for biclustering tasks. Pattern Recognition, 45 (11). 3938-3949 doi:10.1016/j.patcog.2012.04.010
Ye, Xulun, Zhao, Jieyu (2019) Multi-manifold clustering: A graph-constrained deep nonparametric method. Pattern Recognition, 93. 215-227 doi:10.1016/j.patcog.2019.04.029
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