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1
A Way to Boost Semi-NMF for Document Clustering:
, In:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
,
Salah, Aghiles
;
Ailem, Melissa
;
Nadif, Mohamed
- p. 2275-2278 , 2017
Link:
https://dl.acm.org/doi/10.1145/3132847.3133157
RT T1 <cTitle>Proceedings of the 2017 ACM on Conference on Information and Knowledge Management</cTitle>: T1 <Title>A Way to Boost Semi-NMF for Document Clustering</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3133157&Exemplar=1&LAN=DE A1 Salah, Aghiles A1 Ailem, Melissa A1 Nadif, Mohamed PB ACM YR 2017 K1 document clustering K1 semi-nonnegative matrix factorization K1 word embedding K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Machine learning approaches K1 Factorization methods K1 Non-negative matrix factorization K1 Cluster analysis SP 2275 OP 2278 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3132847.3133157 DO https://dl.acm.org/doi/10.1145/3132847.3133157 SF ELIB - SuUB Bremen
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