On the Edges of Clustering: Creating Synergies With Related Problems
MCML Authors
Anna Beer
Dr.
* Former Member
Abstract
Anna Beer
Dr.
* Former Member
Abstract
This thesis explores the connections between clustering and related tasks like subspace clustering, correlation clustering, outlier detection, and data ordering. It introduces novel methods such as the KISS score for subspace clustering, LUCK for correlation clustering, and the ABC algorithm for outlier detection. Additionally, it develops the Circle Index for optimizing data ordering to improve clustering performance. (Shortened.)
BibTeXKey: Bee21