GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology

Mauder, Markus; Bobkova, Yulia and Ntoutsi, Eirini (2016): GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology. In: Berendt, Bettina (ed.) : Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. Lecture Notes in Artificial Intelligence, Vol. 9853. Cham: Springer. pp. 8-11

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.

• Item Type: Book Section
• Faculties: Mathematics, Computer Science and Statistics > Computer Science
• Subjects: 000 Computer science, information and general works > 004 Data processing computer science
• ISBN: 978-3-319-46130-4
• Place of Publication: Cham
• Language: English