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A new fast algorithm for clustering and classification of large collectionsof text documents is introduced. The new algorithm employs the bipartite graphthat realizes the word-document matrix of the collection. Namely, themodularity of the bipartite graph is used as the optimization functional.Experiments performed with the new algorithm on a number of text collectionshad shown a competitive quality of the clustering (classification), and arecord-breaking speed.

Clustering and Classification in Text Collections Using Graph Modularity