Optimized Settings For The Bohai Observation Site And The Frequency Of The Sea

With the accelerated pace of human progress to the sea,China's deepening exploration of marine resources,which requires us to master a scientific approach to resource survey services.The focus of this paper is in the marine resources survey,the observation site and the frequency of the sea set.The traditional method of site setting is not supported by the rigorous theoretical knowledge of mathematical statistics,but only a number of sites are set up according to the site setting method of biological resources.As for the frequency of the sea,there are12 times a year,6 times and 4 times.Machine learning,as a tool for data mining,provides a convenient,easy to understand,and more operational data analysis method for human beings.Machine learning is an artificial intelligence that studies how to use computer to simulate and implement human knowledge processes that transform data into intelligent behavior.As one of the most intelligent features and cutting-edge research in artificial intelligence,it is a method of computer identification of existing knowledge,new knowledge,continuous improvement and self-improvement.Therefore,in this paper,we introduce the machine learning method to provide a scientific explanation for the station.Cluster analysis is an important method in machine learning.The main task is to divide the data into meaningful or useful groups(clusters).Through continuous attempts and improvements,clustering analysis has been widely used in a number of areas: biology,statistics,economics,psychology and other social sciences.In this paper,we use the clustering algorithm and R,the existing observation data for cleaning,analysis,modeling,observation site and the frequency of the sea to give the program.