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During the last few years, the search result clustering has attracted a substantial amount of research. In this paper, we present a comparative study of the performance of fuzzy clustering algorithms, namely Fuzzy C-Means (FCM), and Gustafson-Kessel (GK) algorithms with clustering search results. Therefore, there is a need to reduce the information, help filtering out irrelevant items, and favors...
The primary purpose of the data mining is extraction of required information from a huge amount of datasets. In this regard, it must be tried to omit invalid, noisy and incomplete information as far as possible. Our results and assessment from data mining process would be incomplete, while this information is not omitted totally. It means, if the creditable value according required content has not...
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