Clustering of Complex Data-Sets Using Fractal Similarity Measures and Uncertainties
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BiBTeXSEEK ID: https://publications.h-its.org/publications/62
Research Groups: Data Mining and Uncertainty Quantification
Publication type: InProceedings
Book Title: Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on
Citation: In Computational Science and Engineering (CSE), 2015 IEEE 18th International Conference on, pp. 82-91
Date Published: 2015
Registered Mode: imported from a bibtex file
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Created: 7th Sep 2019 at 07:08
Last updated: 5th Mar 2024 at 21:23
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Research Groups: Data Mining and Uncertainty Quantification
Institutions: Heidelberg Institute for Theoretical Studies
Research Groups: Data Mining and Uncertainty Quantification
Institutions: Heidelberg Institute for Theoretical Studies
Research Groups: Astroinformatics
Institutions: Heidelberg Institute for Theoretical Studies
Research Groups: Scientific Databases and Visualisation, Astroinformatics, Data Mining and Uncertainty Quantification, Groups and Geometry, Natural Language Processing, Computational Molecular Evolution, Computational Carbon Chemistry, Physics of Stellar Objects, Playground, Molecular and Cellular Modeling, Stellar Evolution Theory, SIMPLAIX
Institutions: Heidelberg Institute for Theoretical Studies
Public web page: Not specified
