Term Importance Degree Impact on Search Result Clustering

As well actual clustering algorithms have to deal with explosive growth of documents of various sizes and terms of various frequencies, an appropriate term-weighting scheme has a crucial impact on the overall performance of such systems. Term-weighting is one of the critical processes for document retrieval and ranking in most search result clustering systems. In this paper, the authors introduce a new technique for clustering algorithms that solve the problem of indexing the terms of big datasets and their characteristics which exist in most of current clustering approaches.