Using Weighted Fixed Neural Networks for Unsupervised Fuzzy Clustering
2002 (English)In: International Journal of Neural Systems (IJNS), Vol. 12, no 6, 425-434 p.Article in journal (Refereed) Published
A novel algorithm for unsupervised fuzzy clustering is introduced. The algorithm uses a so-called Weighted Fixed Neural Networks (WFNN) to store important and useful information about the topological relations in a given data set. The algorithm produces
Place, publisher, year, edition, pages
2002. Vol. 12, no 6, 425-434 p.
Unsupervised Image Segmentation, Unsupervised Fuzzy Clustering, Neuro-Fuzzy Systems, Weighted Fixed Neural Networks (WFNN), Watersheds
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:uu:diva-42456OAI: oai:DiVA.org:uu-42456DiVA: diva2:70358