Bit Sequences and Biclustering of Text Documents

We propose a new technique for clustering of text documents 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 allows us to achieve superior time performance. Additionally, our algorithm provides meaningful cluster descriptions.

• Type: Conference
• Year: 2007
• Where: ICDM
• Authors: Selim Mimaroglu, Kuniaki Uehara
• Keywords: Bit Sequences, Data Mining, Greedy Algorithm, ICDM 2007, Synonym Terms