Comparative Study of Clustering Techniques for Short Text Documents. Rangrej, A., Kulkarni, S., & Tendulkar, A., V.
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We compare various document clustering techniques includ-ing K-means, SVD-based method and a graph-based ap-proach 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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