Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Martin Kruliš"'
Publikováno v:
Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering.
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783031226762
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7b105bd3d9336b1ec388adf45a343ed
https://doi.org/10.1007/978-3-031-22677-9_27
https://doi.org/10.1007/978-3-031-22677-9_27
Publikováno v:
Journal of Parallel and Distributed Computing. 155:74-86
Programming courses usually focus on software-engineering problems like software decomposition and code maintenance. While computer-science lessons emphasize algorithm complexity, technological problems are usually neglected although they may signifi
Publikováno v:
2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C).
Publikováno v:
Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems.
Publikováno v:
Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning ISBN: 9783031197581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c07af22f9b03d438fcf6331810837c32
https://doi.org/10.1007/978-3-031-19759-8_20
https://doi.org/10.1007/978-3-031-19759-8_20
Publikováno v:
Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development.
Autor:
Tomáš Bureš, Petr Hnětynka, Martin Kruliš, František Plášil, Danylo Khalyeyev, Sebastian Hahner, Stephan Seifermann, Maximilian Walter, Robert Heinrich
Publikováno v:
Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning ISBN: 9783031197581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3299b4df0c9d4ab18636b25213818d4
https://doi.org/10.1007/978-3-031-19759-8_14
https://doi.org/10.1007/978-3-031-19759-8_14
Publikováno v:
Euro-Par 2021: Parallel Processing ISBN: 9783030856649
Euro-Par
Euro-Par
Hierarchical clustering is a common tool for simplification, exploration, and analysis of datasets in many areas of research. For data originating in flow cytometry, a specific variant of agglomerative clustering based Mahalanobis-average linkage has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c540837e7296e09a6715961942b9877
https://doi.org/10.1007/978-3-030-85665-6_36
https://doi.org/10.1007/978-3-030-85665-6_36
Autor:
Miroslav Kratochvíl, Martin Kruliš
Publikováno v:
ICPP
K-means is one of the most frequently used algorithms for unsupervised clustering data analysis. Individual steps of the k-means algorithm include nearest neighbor finding, efficient distance computation, and cluster-wise reduction, which may be gene