A Neighbourhood-Based Clustering Method for Graph Data Models
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-90936-9_8
Reference8 articles.
1. Ben N’Cir, C.-E., Cleuziou, G., Essoussi, N.: Overview of Overlapping Partitional Clustering Methods, pp. 245–275. Springer International Publishing, Cham (2015)
2. Yuan, L.: A new word clustering algorithm based on word similarity. Chinese J. Electron. 26(6), 1221–1226 (2017)
3. Wenliang, C., Xingzhi, C., Huizhen, W., Jingbo, Z., Tianshun, Y.: Automatic word clustering for text categorization using global information. In: Information Retrieval Technology, pp. 1–11. Berlin, Heidelberg (2005). Springer Berlin Heidelberg
4. Biemann, C.: Chinese whispers—an efficient graph clustering algorithm and its application to natural language processing problems. In: Proceedings of TextGraphs: the First Workshop on Graph Based Methods for Natural Language Processing, pp. 73–80. New York City (2006). Association for Computational Linguistics
5. Baum, G.L. et al.: Modular segregation of structural brain networks supports the development of executive function in youth. Curr. Biol. 3, 1561–1572 (2017)
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