Downloads
Here you can find the source code of selected publications.
2025
ADERH-main.zip (snapshot Oct-23 2025)
Source code (github)
Walid Durani, Collin Leiber, Khalid Durani, Claudia Plant, Christian Böhm: Anomaly Detection by an Ensemble of Pairs of Random Hyperspheres, Poster, Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
DMDHC-SDM-2025-main.zip
Walid Durani, Dominik Mautz, Claudia Plant, and Christian Böhm: DMDHC: Discovery of Multi-Density Hierarchical Cluster Structures. SIAM International Conference on Data Mining (SDM), 2025.
WSAD_ICML_2025.zip
Walid Durani, Tobias Nitzl, Claudia Plant, Christian Böhm: Weakly Supervised Anomaly Detection via Dual-Tailed Kernel, International Conference on Machine Learning (ICML), 2025.
2024
AMOGCN-main.zip (snapshot Jun-07 2024)
Source code (github)
Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang, Wenzhong Guo: Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs. Neural Networks 174: 106225 (2024)
2023
Pattern Discovery in an EEG Database of Depression Patients_Preliminary Results.zip
Katerina Hlavácková-Schindler, Christina Pacher, Claudia Plant, Mykola Lazarenko, Milan Paluš, Jaroslav Hlinka, Aditi Kathpalia, Martin Brunovský: Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results, in MEASUREMENT 2023, Proceedings of the 14th International Conference, Smolenice, Slovakia
2022
AWT_Code.zip
AWT - Clustering Meteorological Time Series Using an Aggregated Wavelet Tree (IEEE DSAA 2022)
tpu-k-means-main.zip (snapshot Nov-14 2022)
Source code (gitlab)
Enhancing k-Means Algorithm with Tensor Processing Unit (IEEE Big Data)
DBHD.zip
DBHD: Density-based Clustering for Highly Varying Density
supplementary_material_5963.zip
Causal Discovery in Hawkes Processes by Minimum Description Length (full text)
2020
GEMPE-master.zip, Repository at Github
GEMPE: Data Compression as a Comprehensive Framework for Graph Drawing and Representation Learning
RandomLink.zip
RandomLink - Avoiding Linkage-Effects by employing Random Effects for Clustering
DipExt-DipInit.zip
Utilizing Structure-rich Features to improve Clustering
PCE source code (labels and data sets included)
PCE source code (no labels or data sets)
Readme.txt
Non-linear Cluster Enhancement: Forcing Clusters into a compact shape
2019
hilbertJoin - source code (gitlab)
Full text at ACM
Cache-oblivious High-performance Similarity Join
ClicoT.7z
Clustering of Mixed-type Data Considering Concept Hierarchies
HGGM_Code.7z
Granger Causality for Heterogeneous Processes
ITGC.7z
ITGC: Information-theoretic Grid-based Clustering
2018
ICDM_DipTransformation.7z
DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering
MDBSCAN.7z
Parameter Free Mixed-Type Density-Based Clustering
2017
ProjectVienna17.zip
Graphical Granger Causality for Detection Temporal Anomalies in EEG Data
IncDTW (R package)
IncDTW: Incremental Calculation of Dynamic Time Warping
Multi-core K-means (gitlab)
Multi-core K-means. In: SIAM International Conference on Data Mining (SDM 2017)
2016
megs.zip
Sebastian Goebl, Annika Tonch, Christian Böhm, Claudia Plant: MeGS: Partitioning Meaningful Subgraph Structures Using Minimum Description Length. ICDM 2016: 889-894
furhilbert.h
Cache-oblivious Loops Based on a Novel Space-filling Curve
LevyWalk.7z
Clustering with the Levy Walk: "Hunting" for Clusters
finesse-master.zip
Factorizing Complex Discrete Data "with Finesse"
icdm2016_gmmIndexingProject.rar
Gaussian Component-based Index for GMMs
ISAAC.zip
Generalized Independent Subspace Clustering
SubCluEns.tar.gz
Subspace Clustering Ensembles Through Tensor Decomposition
2011
INCONCO.zip
INCONCO: interpretable clustering of numerical and categorical objects (publication)
2010
integrate.zip
Integrative Parameter-Free Clustering of Data with Mixed Type Attributes (publication)