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ISNN
2004
Springer
15 years 6 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
96
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NN
2006
Springer
128views Neural Networks» more  NN 2006»
15 years 19 days ago
Topographic map formation of factorized Edgeworth-expanded kernels
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
Marc M. Van Hulle
SENSYS
2006
ACM
15 years 6 months ago
Routing and processing multiple aggregate queries in sensor networks
Niki Trigoni, Alexandre Guitton, Antonios Skordyli...