Clustering of waveforms-data based on FPCA direction

Research output: Contribution to conferenceOther


The necessity of nding similar features of waveforms data recorded forearthquakes at di erent time instants is here considered, since eventual similaritybetween these functions could suggest similar behavior of the source process ofthe corresponding earthquakes. In this paper we develop a clustering algorithm forcurves based on directions de ned by an application of PCA to functional data.
Original languageEnglish
Number of pages8
Publication statusPublished - 2010


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