DRID- A New Merging Approach

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Provided by: International Journal of Computer Science and Communication Networks (IJCSCN)
Topic: Data Management
Format: PDF
Merging of clusters is a deterministic approach which provides results in an efficient manner. It involves the data input values as per the suitability of the algorithm. There are various advantages for merging of clusters like to improve the quality of clusters, to reduce the noise level and to increase the performance of the algorithm. Merging of clusters is possible in any environment it totally depends on the availability of the type of dataset values.
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