Intelligent integration method of cascade water conservancy hub information based on K-medoids clustering processing
In order to improve the utilization rate of cascade water conservancy hub information in practical work,an intelligent integration method for cascade water conservancy hub information based on K-medoids clustering processing is proposed.Collect information on cascade water conservancy hubs from aspects such as project information,hydrology,and hub equipment,and complete initial information preprocessing through steps such as cleaning and normalization for different types of information.Taking the extraction results of information features of cascade water conservancy hubs as the processing object,K-medoids processing technology is used to cluster the information of cascade water conservancy hubs.Through redundant filtering of integrated information,the intelligent integration result of information is obtained.The conclusion drawn from performance testing experiments is that compared with traditional integration methods,the optimized method has improved completeness by 6.06%,reduced redundancy by 1.79%,and integrated information has a higher utilization rate.
K-medoids clustering processing technologycascade water conservancy hubswater con-servancy informationinformation integration
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