Abstract
A new online learning mechanism is proposed for unsupervised classification and topology representation. It can represent the topological structure of unsupervised online non-stationary data, report the reasonable number of clusters, eliminate noise, and give typical prototype patterns of every cluster without priori conditions such as a suitable number of nodes or a good initial codebook.
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.
