2011 ComparativeStudyofClusteringTec

• (Rangrej et al., 2011) ⇒ Aniket Rangrej, Sayali Kulkarni, and Ashish V. Tendulkar. (2011). Comparative Study of Clustering Techniques for Short Text Documents In: Proceedings of the 20th international conference companion on World wide web. doi:10.1145/1963192.1963249

Subject Headings: Document Clustering, Short-Text Item.

Cited By

• http://scholar.google.com/scholar?q=%22Comparative+study+of+clustering+techniques+for+short+text+documents%22+2011
• http://dl.acm.org/citation.cfm?id=1963192.1963249&preflayout=flat#citedby

Quotes

Author Keywords

• K-means; SVD; affinity propagation; clustering; short text

Abstract

We compare various document clustering techniques including K-means, SVD-based method and a graph-based approach and their performance on short text data collected from Twitter. We define a measure for evaluating the cluster error with these techniques. Observations show that graph-based approach using affinity propagation performs best in clustering short text data with minimal cluster error.

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References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 ComparativeStudyofClusteringTec	Sayali Kulkarni Aniket Rangrej Ashish V. Tendulkar			Comparative Study of Clustering Techniques for Short Text Documents				10.1145/1963192.1963249		2011