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Using Weighted Fixed Neural Networks for Unsupervised Fuzzy Clustering
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2002 (English)In: International Journal of Neural Systems (IJNS), Vol. 12, no 6, 425-434 p.Article in journal (Refereed) Published
Abstract [en]

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.
Keyword [en]
Unsupervised Image Segmentation, Unsupervised Fuzzy Clustering, Neuro-Fuzzy Systems, Weighted Fixed Neural Networks (WFNN), Watersheds
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:uu:diva-42456OAI: oai:DiVA.org:uu-42456DiVA: diva2:70358
Available from: 2005-08-25 Created: 2005-08-25 Last updated: 2011-01-13

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ReferencesLink to record
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