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Bit Sequences and Biclustering of Text Documents

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2 Author(s)

We propose a new technique for clustering of text doc- uments that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorithm applied to bit sequences associated with each group of synonym terms. The use of bit sequences al- lows us to achieve superior time performance. Additionally, our algorithm provides meaningful cluster descriptions.

Published in:

Data Mining Workshops, 2007. ICDM Workshops 2007. Seventh IEEE International Conference on

Date of Conference:

28-31 Oct. 2007