Locality mutual clustering for document retrieval
Khu Phi Nguyen, Hong Tuyet Tu · 2014
Document retrieval is aimed at searching relevant documents in response to answer user query. To do this task, algorithms of document clustering play an important role. These algorithms are often based on frequency computation of key-phrases in both query and document, and focus on locality. It is dealt with this paper an algorithm based on locality mutual clustering is proposed to cluster documents and to find relevance documents in answer to user query. This proposed algorithm has been used for searching scientific papers in our institutions.