Big Data Clustering Techniques Challenged and Perspectives: Review

Clustering in big data considers a critical mining and analysis technique. There are problems with adapting clustering algorithms to large amounts of data, along new challenges brought by data. As the size is up petabytes methods have high processing costs, challenge how overcome this issue utilize techniques for promptly. The purpose work investigate history advancement platforms handle issues, from basic suggested today's novel solutions. methodology specific issues building an effective mechanism presented evaluated, followed discussion choices enhancing algorithms. A brief literature review recent has been address main characteristics drawbacks each solution. In addition, example set further overview techniques.