MSEEC – A Multi Search Engine with Multiple Clustering
Peter Hannappel, Reinhold Klapsing, Gustaf Neumann, Adrian Krug · 2000
This paper presents a scalable architecture for a multi search engine for web documents with multiple cluster algorithms (MSEEC[12]). Querying search engines in the web may result in an overwhelming amount of matching documents. Clustering techniques are used to find a set of similar documents which are presented using a suitable cluster title. The scalable and modular architecture of MSEEC allows to process information with multiple cluster algorithms to present alternative clusters and the related cluster title to the user. This paper presents as well a novel clustering technique that is based on the LZW compression method.