Abstract
This method is based on hierarchical clusterization of data in a multidimensional space and the Sammon mapping. The key feature of the dimensionality reduction stage is the use of reference node lists created by the results of the hierarchical clusterization stage. The experimental results given in this work include the method performance quality estimates for some systems of the features extracted from digital image collections of different sizes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.