Forschungsgruppe Data Mining in der Medizin
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2022

Automatic Parameter Selection for Non-Redundant Clustering

2021

Density-Based Clustering for Adaptive Density Variation

DipDECK - Dip-based Deep Embedded Clustering with k-Estimation

2020

Massively Parallel Random Number Generation (AVX-Random)

DeepECT: The Deep Embedded Cluster Tree

  • See 2019: Deep Embedded Cluster Tree

Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans

2019

Deep Embedded Cluster Tree

2018

Discovering Non-Redundant K-means Clusterings in Optimal Subspaces

2017

Towards an Optimal Subspace for K-Means

Learning from Labeled and Unlabeled Vertices in Networks

  • Paper (Over ACM; needs HTTP-Referrer)

Multi-core K-means

2016

MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length

Cache-oblivious Loops Based on a Novel Space-filling Curve

Gaussian Component-based Index for GMMs

Generalized Independent Subspace Clustering

Subspace Clustering Ensembles Through Tensor Decomposition

2014

Finding the Optimal Subspace for Clustering