Abstract
The paper presents a hypergraph model and HYPERGRAPH DECOMPOSITION ALGORITHM for text document clustering. The experiments on three different data sets from news, Web, and medical literatures have shown our algorithm is significantly better than traditional clustering algorithms, such as K-MEANS, PRINCIPAL DIRECTION DIVISIVE PARTITIONING , AUTOCLASS and HIERACHICAL CLUSTERING.
Original language | English |
---|---|
Title of host publication | The Ninth International Conference on Advances in Semantic Processing |
Publication status | Published - 2015 |