Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative Clustering

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.

DOI: 10.1007/978-3-540-73729-2_24

Cite this paper

@inproceedings{Miyamoto2007KernelFB, title={Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative Clustering}, author={Sadaaki Miyamoto and Yuichi Kawasaki}, booktitle={MDAI}, year={2007} }