2012
DOI: 10.1016/j.epsl.2012.09.014
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Cluster analysis of global lower mantle tomography: A new class of structure and implications for chemical heterogeneity

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Cited by 306 publications
(362 citation statements)
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References 60 publications
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“…In previous work, Lekic et al (2012) applied cluster analysis on the whole lower-mantle V S profiles, and showed that the resulting geographic distribution of clusters was dominated by structure near the CMB. In contrast, in this study, we seek to map how the geographic extent of the LLSVPs varies with height above the CMB; therefore, we apply k-means cluster analysis of all V S profiles in 1124 S. Cottaar and V. Lekic restricted depth ranges using a sliding window.…”
Section: Cluster Analysismentioning
confidence: 99%
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“…In previous work, Lekic et al (2012) applied cluster analysis on the whole lower-mantle V S profiles, and showed that the resulting geographic distribution of clusters was dominated by structure near the CMB. In contrast, in this study, we seek to map how the geographic extent of the LLSVPs varies with height above the CMB; therefore, we apply k-means cluster analysis of all V S profiles in 1124 S. Cottaar and V. Lekic restricted depth ranges using a sliding window.…”
Section: Cluster Analysismentioning
confidence: 99%
“…When applied to profiles of the entire lower mantle, k-means clustering of five recent tomographic models (Mégnin & Romanowicz 2000;Houser et al 2008;Kustowski et al 2008;Simmons et al 2010;Ritsema et al 2011) retrieves the geographic extents of the LLSVPs, as well as the LLSVP-like, but geographically isolated meso-scale structure called the Perm anomaly (Lekic et al 2012).…”
Section: Cluster Analysismentioning
confidence: 99%
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