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Esposito et al., 2005 - Google Patents

Nonlinear exploratory data analysis applied to seismic signals

Esposito et al., 2005

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Document ID
18001316558732074041
Author
Esposito A
Scarpetta S
Giudicepietro F
Masiello S
Pugliese L
Esposito A
Publication year
Publication venue
Italian Workshop on Neural Nets

External Links

Snippet

This paper compares three unsupervised projection methods: Principal Component Analysis (PCA), which is linear, Self-Organizing Map (SOM) and Curvilinear Component Analysis (CCA), which are both nonlinear. Performance comparison of the three methods is made on …
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