Business Data Analysis Based on Hierarchical Clustering Algorithm in the Context of Big Data

Abstract

With the rapid development of computer technology, computer technology has been applied to all aspects of the daily field, we are now in an era of data explosion. With the passage of time, the data on the network will become more and more, consumers will not be able to meet their consumption needs in the face of so much data. How to deal with these data is an urgent problem to be solved. Based on this, this paper uses a similar analytic hierarchy process algorithm, hierarchical clustering algorithm, to process the data. According to the browsing and consumption records of consumers, the algorithm can recommend the goods that consumers want to buy and the price of goods they want to buy. In the research, this paper analyzes the business data of consumers by hierarchical clustering analysis, and classifies people with different consumption levels into a large group, analyzes the purchasing tendency of consumers and the price of goods they want to buy, and then recommends products to consumers. The experimental results show that the analysis results of this paper using hierarchical clustering algorithm are consistent with the results of selling goods on the online platform. Therefore, according to the experimental results of this paper, businesses can promote more suitable products for consumers.