Improve the Performance of Clustering Using Combination of Multiple Clustering Algorithms
The ever-increasing availability of textual documents has lead to a growing challenge for information systems to effectively manage and retrieve the information comprised in large collections of texts according to the user's information needs. There is no clustering method that can adequately handle all sorts of cluster structures and properties (e.g. shape, size, overlapping, and density). Combining multiple clustering methods is an approach to overcome the deficiency of single algorithms and further enhance their performances.