A Survey of Different Issue of Different clustering Algorithms Used in Large Data sets

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
Data mining is the process of extracting patterns from data. Data mining is seen as an increasingly important tool by modern business to transform data into an informational advantage. It is currently used in a wide range of profiling practices, such as marketing, surveillance, fraud detection, and scientific discovery. This paper gives an overview of different clustering algorithms used in large data sets. It describes about the general working behavior, and the methodologies followed on these approaches and the parameters which used in these algorithms with large data sets.
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