ML Anthology

GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology

Markus Mauder, Yulia Bobkova, Eirini Ntoutsi
ECML-PKDD 2016 pp. 8-11
doi:10.1007/978-3-319-46131-1_2 /ecmlpkdd/2016/mauder2016ecmlpkdd-gmmbuilder/

Abstract

We present GMMbuilder , a tool that allows domain scientists to build Gaussian Mixture Models (GMM) that adhere to domain specific constraints like spatial coherence. Domain experts use this tool to generate different models, extract stable object communities across these models, and use these communities to interactively design a final clustering model that explains the data but also considers prior beliefs and expectations of the domain experts.

PDF ECML-PKDD Semantic Scholar

Cite

Text

Mauder et al. "GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016. doi:10.1007/978-3-319-46131-1_2

Markdown

[Mauder et al. "GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016.](https://mlanthology.org/ecmlpkdd/2016/mauder2016ecmlpkdd-gmmbuilder/) doi:10.1007/978-3-319-46131-1_2

BibTeX

@inproceedings{mauder2016ecmlpkdd-gmmbuilder,
  title     = {{GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology}},
  author    = {Mauder, Markus and Bobkova, Yulia and Ntoutsi, Eirini},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2016},
  pages     = {8-11},
  doi       = {10.1007/978-3-319-46131-1_2},
  url       = {https://mlanthology.org/ecmlpkdd/2016/mauder2016ecmlpkdd-gmmbuilder/}
}