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What is Clustering Techniques in Financial Analysis about?

This document surveys different clustering approaches that have been used for analyzing various types of financial data. It begins by introducing the importance of analyzing increasingly large financial datasets and the challenges involved. It then provides an overview of various data mining techniques that have been applied to financial data, including classification, regression, and clustering. The document focuses on evaluating different clustering algorithms and their advantages and disadvantages for an

Author

Newton Linchen

Language

EN