Department of ECE, Mohan Babu University, Tirupati, A.P, India
Department of ECE, Mohan Babu University, Tirupati, A.P, India
In the present age of information technology, information is the most important factor in determining how different paradigms will progress. This information needs to be mined out of a massive computer treasure trove. The rise in the amount of data been analyzed and interpreted is a direct result of the proliferation of more powerful processing platforms, the increase in the amount of storage space available, and the transition toward the use of electronic platforms. A thorough study of Big Data, its characteristics, and the role that Subspace clustering algorithm plays is described in this work. The most important contribution that this paper makes is that it reads a lot of previous research and then makes a thorough presentation about the different ways that other authors have classified subspace clustering methods. In addition, significant algorithms that are capable of acting as a benchmark for any future development have been provided with a short explanation.
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