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L Tschetsch

Biographic Data

ID5216941
NAMEL Tschetsch
GIVEN NAMESL
FAMILY NAMETschetsch
SIGNATURETSCHETSCH L
AFFILIATIONSLudwig‐Maximilians‐Universität München, Biozentrum Martinsried Grosshaderner Str. 2 D‐82152 Martinsried Germany
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS1
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX1
  • Multi‐isotope fingerprints (O, Sr and Pb) in archaeological animal bone bioapatite

    Open Access•L Tschetsch, Alexandra Mussauer et al.•ARTICLE•Archaeometry•2020•Cited by: 1•References: 35

    Multi‐isotope fingerprints in the bioapatite of archaeological skeletons are mostly superior over single isotope analyses for provenance studies. Gaussian mixture model (GMM) clustering is a novel tool for a similarity search among multidimensional data sets and at the same time permits the evaluation of the structural importance of particular isotopic ratios in the data set. We applied three GMM clustering experiments on multi‐isotope fingerprin…

  • Multi‐isotope fingerprints (O, Sr and Pb) in archaeological animal bone bioapatite

    Open Access•L Tschetsch, Alexandra Mussauer et al.•ARTICLE•Archaeometry•2020•Cited by: 1•References: 35

    Multi‐isotope fingerprints in the bioapatite of archaeological skeletons are mostly superior over single isotope analyses for provenance studies. Gaussian mixture model (GMM) clustering is a novel tool for a similarity search among multidimensional data sets and at the same time permits the evaluation of the structural importance of particular isotopic ratios in the data set. We applied three GMM clustering experiments on multi‐isotope fingerprin…

  • Multi‐isotope fingerprints (O, Sr and Pb) in archaeological animal bone bioapatite

    Open Access•L Tschetsch, Alexandra Mussauer et al.•ARTICLE•Archaeometry•2020•Cited by: 1•References: 35

    Multi‐isotope fingerprints in the bioapatite of archaeological skeletons are mostly superior over single isotope analyses for provenance studies. Gaussian mixture model (GMM) clustering is a novel tool for a similarity search among multidimensional data sets and at the same time permits the evaluation of the structural importance of particular isotopic ratios in the data set. We applied three GMM clustering experiments on multi‐isotope fingerprin…

Archaeology (1 work) · Archaeology and ancient environmental studies (1 work) · Chemistry (1 work) · Cluster analysis (1 work) · Computer Science (1 work) · Geochemistry (1 work) · Geography (1 work) · Geology (1 work) · Geology (1 work) · Isotope (1 work)

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