document: Comparative study of clustering techniques for short text documents 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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