Abstract
In view of the problem that the number of clusters need to be set manually, it is difficult to process the multi-dimensional data effectively, and the clustering results are not described effectively when the multi-dimensional data need to be clustered. This paper proposes a method of adaptive spatial clustering and its cloud model representation for the multi-dimensional data. This method can be used to cluster multi-dimensional spatial data, form qualitative description of clustering results, and realize the reconstruction and verification of qualitative description features. Through simulation experiments, this method can cluster data adaptively without the need to set the number of clusters. At the same time, it has a good ability to abstract and reconstruct digital features.
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.
