Articles with public access mandates - Erich SchubertLearn more
Available somewhere: 13
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
GO Campos, A Zimek, J Sander, RJGB Campello, B Micenková, ...
Data mining and knowledge discovery 30, 891-927, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada, Danish Council …
A framework for clustering uncertain data
E Schubert, A Koos, T Emrich, A Züfle, KA Schmid, A Zimek
Proceedings of the VLDB Endowment 8 (12), 1976-1979, 2015
Mandates: German Research Foundation
Fast and eager k-medoids clustering: O (k) runtime improvement of the PAM, CLARA, and CLARANS algorithms
E Schubert, PJ Rousseeuw
Information Systems 101, 101804, 2021
Mandates: German Research Foundation
Discriminative features for identifying and interpreting outliers
XH Dang, I Assent, RT Ng, A Zimek, E Schubert
2014 IEEE 30th international conference on data engineering, 88-99, 2014
Mandates: Danish Council for Independent Research
BETULA: Fast clustering of large data with improved BIRCH CF-Trees
A Lang, E Schubert
Information Systems 108, 101918, 2022
Mandates: German Research Foundation
A triangle inequality for cosine similarity
E Schubert
International Conference on Similarity Search and Applications, 32-44, 2021
Mandates: German Research Foundation
Accelerating Spherical k-Means
E Schubert, A Lang, G Feher
International Conference on Similarity Search and Applications, 217-231, 2021
Mandates: German Research Foundation
BETULA: Numerically Stable CF-Trees for BIRCH Clustering
A Lang, E Schubert
International Conference on Similarity Search and Applications, 2020
Mandates: German Research Foundation
Clustering by direct optimization of the medoid silhouette
L Lenssen, E Schubert
International Conference on Similarity Search and Applications, 190-204, 2022
Mandates: German Research Foundation
ABID: angle based intrinsic dimensionality—theory and analysis
E Thordsen, E Schubert
Information Systems 108, 101989, 2022
Mandates: German Research Foundation
Metric indexing for graph similarity search
F Bause, DB Blumenthal, E Schubert, NM Kriege
International Conference on Similarity Search and Applications, 323-336, 2021
Mandates: German Research Foundation, Vienna Science and Technology Fund, Austria
EmbAssi: embedding assignment costs for similarity search in large graph databases
F Bause, E Schubert, NM Kriege
Data Mining and Knowledge Discovery 36 (5), 1728-1755, 2022
Mandates: German Research Foundation, Vienna Science and Technology Fund, Austria
On Projections to Linear Subspaces
E Thordsen, E Schubert
International Conference on Similarity Search and Applications, 75-88, 2022
Mandates: German Research Foundation
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