Abstract
Clustering analysis is one of the main research directions in data mining. At present, it has gone deep into all fields and made good progress. Aiming at the role of clustering analysis in data mining, a clustering analysis algorithm and its application in data mining are proposed. Through literature comparative analysis method, the basic concepts of cluster analysis are expounded in detail, and the classical algorithms in cluster analysis are discussed. The basic realization process of clustering K-means algorithm is analyzed and an example simulation is carried out. The research shows that this algorithm has strong universality and can be applied to most data analysis sites, providing a theoretical basis for timely detection and analysis of large amounts of data.
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.
