Stefano Masiello

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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 a set of seismic data recorded on Stromboli that includes three classes of signals:(More)
– This paper reports on the unsupervised analysis of seismic signals recorded by four stations situated on the Vesuvius area in Naples, Italy. The dataset under examination is composed of earthquakes and false events like thunders, quarry blasts and man-made undersea explosions. The goal is to use these specific data for comparing the performance of three(More)
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