Clustering of waveforms-data based on FPCA direction

Research output: Contribution to conferenceOther

Abstract

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
Pages625-632
Number of pages8
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'Clustering of waveforms-data based on FPCA direction'. Together they form a unique fingerprint.

Cite this