Neural networks for efficient nonlinear online clustering

Unsupervised learning techniques, such as clustering and sparse coding, have been adapted for use with data sets exhibiting nonlinear relationships through the use of kernel machines. These techniques often require an explicit computation of the kernel matrix, which becomes expensive as the number o...

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Bibliographic Details

Main Authors:	Yanis Bahroun, Eugenie Hunsicker, Andrea Soltoggio
Format:	Default Conference proceeding
Published:	2017
Subjects:	Other information and computing sciences not elsewhere classified Nonlinear kernel Clustering Hebbian learning Neural networks Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/26825
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