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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Miyamoto, S., & Kawasaki, Y. (2007). Kernel functions based on fuzzy neighborhoods and agglomerative clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4617 LNAI, pp. 249–260). Springer Verlag. https://doi.org/10.1007/978-3-540-73729-2_24
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