Text clustering is an unsupervised learning technique that organises documents into coherent groups based on shared linguistic and semantic characteristics. The effectiveness of clustering depends ...
Prof. Wang's current research interests include text mining algorithms and systems, data modeling and its applications, and combinatorial optimizations. His previous interests included large-scale ...