Abstract
A fuzzy neighborhood model for analyzing information systems having topological structures on occurrences of keywords is proposed and associated kernel functions are studied. Sufficient conditions when a neighborhood defines a kernel are derived. Accordingly, agglomerative clustering algorithms are applicable which employ kernel functions. An illustrative example is given.
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Miyamoto, S., Kawasaki, Y. (2007). Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative Clustering. In: Torra, V., Narukawa, Y., Yoshida, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2007. Lecture Notes in Computer Science(), vol 4617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73729-2_24
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DOI: https://doi.org/10.1007/978-3-540-73729-2_24
Publisher Name: Springer, Berlin, Heidelberg
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