activity
20192025
most citedSwarm Intelligence for Self-Organized Clustering

83 citations · 169 across the 5 of their papers we have counts for

collaborators

5 papers

cs.PF2025

Memshare: Memory Sharing for Multicore Computation in R with an Application to Feature Selection by Mutual Information using PDE

Michael C. Thrun, Julian Märte

We present memshare\footnote{The Software package is published as a CRAN package under https://CRAN.R-project.org/package=memshare, a package that enables shared memory multicore c…

cs.LG2021★ 12 cited

The Exploitation of Distance Distributions for Clustering

Michael C. Thrun

Although distance measures are used in many machine learning algorithms, the literature on the context-independent selection and evaluation of distance measures is limited in the s…

cs.LG2021★ 3 cited

An Explainable AI System for the Diagnosis of High Dimensional Biomedical Data

Alfred Ultsch, Jörg Hoffmann, Maximilian Röhnert +4

Typical state of the art flow cytometry data samples consists of measures of more than 100.000 cells in 10 or more features. AI systems are able to diagnose such data with almost t…

cs.NE2021★ 83 cited

Swarm Intelligence for Self-Organized Clustering

Michael C. Thrun, Alfred Ultsch

Algorithms implementing populations of agents which interact with one another and sense their environment may exhibit emergent behavior such as self-organization and swarm intellig…

stat.AP2019★ 71 cited

Analyzing the Fine Structure of Distributions

Michael C. Thrun, Tino Gehlert, Alfred Ultsch

One aim of data mining is the identification of interesting structures in data. For better analytical results, the basic properties of an empirical distribution, such as skewness a…