L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization

Research article (2016 IEEE 16th International Conference on Data Mining (ICDM), 2016) · cited 19× · AI/ML
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L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization

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L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. Retrieved May 24, 2026, from https://4ort.xyz/entity/l-ensnmf-boosted-local-topic-discovery-via-ensemble-of-nonnegative-matrix-factorization
MLA “L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/l-ensnmf-boosted-local-topic-discovery-via-ensemble-of-nonnegative-matrix-factorization.
BibTeX @misc{4ortxyz_l-ensnmf-boosted-local-topic-discovery-via-ensemble-of-nonnegative-matrix-factorization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization}}, year = {2026}, url = {https://4ort.xyz/entity/l-ensnmf-boosted-local-topic-discovery-via-ensemble-of-nonnegative-matrix-factorization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization — https://4ort.xyz/entity/l-ensnmf-boosted-local-topic-discovery-via-ensemble-of-nonnegative-matrix-factorization (retrieved 2026-05-24)

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