Bit Sequences and Biclustering of Text Documents

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.