Intelligent Analysis and Processing Technology of Financial Big Data Based on Clustering Algorithm

The research on intelligent analysis and processing technology of financial big data based on clustering algorithm is a scientific research. The main purpose of this research is to develop a big data intelligent analysis and processing technology that can be used in the financial field. This type of research has been carried out by many researchers from different countries, such as China, Japan, South Korea and so on. In order to achieve this goal, we have developed a new method using cluster analysis, which can process a large amount of financial information, such as stock prices, currency exchange rates and so on. The main purpose of this study is to provide a new method for analyzing and processing a large number of financial data. This can be used to improve the clustering algorithm process of the financial industry by using the knowledge obtained from this kind of big data set. The main advantage is that it provides an effective method for information retrieval, classification and visualization, which helps us understand the important characteristics of the target market and other relevant characteristics.