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Clustering methods in Big data

Uranus Kazemi


According to the bitrate, volume and variety of data in new era, there are problems such as analysis of Big data. By using data mining methods many useful information and hidden relations could be extracted from these data. Old methods for data mining couldn’t be performed directly on Big data because of their low speed. Thus this approach aims to present a solution for analyzing Big data. One method is clustering that puts data in one or more clusters. In this approach most of important clustering techniques are being studied.

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