Clustering Using Big Data
DOI:
https://doi.org/10.37628/ijocspl.v3i2.325Abstract
Clustering deals with finding a structure in a collection of unlabeled data. Data stream mining is the process of extracting knowledge structures from continuous, rapid data records. As big data are referring to terabytes of data and clustering algorithms are come with high computational costs, the question is how to cope with this problem and how to deploy clustering techniques to big data and get the results in a reasonable time. Clustering helps to visually analyze the data and also assists in decision making. In this paper, we have discussed some big data mining clustering techniques and also provide a comparison among them.References
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