Identification of Seismo‐Volcanic Regimes at Whakaari/White Island (New Zealand) Via Systematic Tuning of an Unsupervised Classifier

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Title

Identification of Seismo‐Volcanic Regimes at Whakaari/White Island (New Zealand) Via Systematic Tuning of an Unsupervised Classifier

Content partner

The University of Auckland Library

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ResearchSpace@Auckland

Description

We present an algorithm based on Self‐Organizing Maps (SOM) and k‐means clustering to recognize patterns in a continuous 12.5‐year tremor time series recorded at Whakaari/White Island volcano, New Zealand (hereafter referred to as Whakaari). The approach is extendable to a variety of volcanic settings through systematic tuning of the classifier. Hyperparameters are evaluated by statistical means, yielding a combination of “ideal” SOM parameters for the given data set. Extending from this, we ...

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Format

Research paper

Research format

Journal article

Date created

2023-03

Creator

Steinke, B / Jolly, AD / Carniel, R / Dempsey, DE / Cronin, SJ

URL

https://hdl.handle.net/2292/66032

Related subjects

37 Earth Sciences / 3705 Geology / 3706 Geophysics / Science & Technology / Physical Sciences / Geochemistry & Geophysics / volcano seismology / machine learning / self-organising maps / volcanic tremor / Whakaari / White Island (NZ) / WHITE ISLAND / PATTERN-RECOGNITION / TREMOR / EARTHQUAKES / EVOLUTION / ERUPTIONS / EVENTS / FIELD / LAKE / 0402 Geochemistry / 0403 Geology / 0404 Geophysics

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