Multiattribute variable-window waveform classification and application
Published • Aug 27, 2018
NobleIDNI7P87W18R95S90
Authors:,
Mingjun Su
Yuan Cheng
Abstract
Conventional waveform clustering may be accomplished using single attribute and constant time window. To meet the demand of continental stratigraphic analysis, we present a method for waveform classification using multiple attributes and variable window. We first use PCA for dimension reduction of a...
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