Research on the Development Trend of Broadcasting Network Technology Based on K-Means Algorithm

With the coming of the "5 g era", intelligence, digital transformation is a major problem faced by radio, film and television networks. This paper uses the k-means algorithm to analyze its market demand data. According to the clustering analysis, the key attributes of broadcasting network products in the future are extracted. The clustering results can be divided into three categories, and then infer the trend of its technology development: First, the promotion of digital technology, which is from video, audio, text compression coding and modulation transmission, so that the content storage capacity is more abundant, data transmission more rapid. Second, the continuous upgrading of operation platform technology, middleware and system integration technology, including standardization technology, full-service support technology and platform establishment. Third, the improvement of basic network technology, which is from network access technology to network transmission technology, the formation of advanced technology entry point and transmission fluency. Fourth, the optimization of network technology, which is from the network architecture, to form an integrated, mature network system. Keywords-Intelligent Products; K-Means Algorithm; Clustering Analysis