Abstract
Clustering algorithm analysis is a very common data mining technology in the current industry research, and has been widely promoted and applied in many social marketing and other related industries. It can not only classify, identify and optimize customers accurately, but also design documents by various data processing methods. K-means clustering algorithm is based on the relevant ideological content of âbirds of a feather flock togetherâ to split and synthesize data, so that the similarity of data between different clusters can reach the highest. This paper discusses and improves the algorithm based on Spark.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
