Ensemble Block Co-clustering: A Unified Framework for Text Data-Reference-Cited by-同舟云学术

Ensemble Block Co-clustering: A Unified Framework for Text Data

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Affeldt Séverine¹,Labiod Lazhar¹,Nadif Mohamed¹

Affiliation:

1. Université de Paris, LIPADE, Paris, France

Funder

French National Research Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412058

Reference39 articles.

1. Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity

2. Graph modularity maximization as an effective method for co-clustering text data

3. Weighted Clustering Ensembles

4. Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115)

5. Meghana Deodhar and Joydeep Ghosh. 2010. SCOAL: a framework for simultaneous co-clustering and learning from complex data. ACM Transactions on Knowledge Discovery from Data Vol. 4 3 (2010) 11. Meghana Deodhar and Joydeep Ghosh. 2010. SCOAL: a framework for simultaneous co-clustering and learning from complex data. ACM Transactions on Knowledge Discovery from Data Vol. 4 3 (2010) 11.

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