83 citations · 95 across the 2 of their papers we have counts for
3 papers
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.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
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…