This paper relates to a technique of improving results visualization in Web search engines known as search results clustering. We introduce an open extensible research system for examination and development of search results clustering algorithms
— Carrot2. We also discuss attempts to measuring quality of discovered clusters and demonstrate results of our experiments with quality
assessment when inflectionally rich language (Polish) is clustered using a representative algorithm - Suffix Tree Clustering.
Keywords information retrieval - web browsing and exploration - web search clustering - suffix tree clustering