ELKI: A Software System for Evaluation of Subspace Clustering Algorithms

In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – if at all – with one or two competitors or even with a so called “na¨ıve” ad hoc solution. For the prolific field of subspace clustering, we propose a software framework implementing many prominent algorithms and, thus, allowing for a fair and thorough evaluation. Furthermore, we describe how new algorithms for new applications can be incorporated in the framework easily.

• Type: Conference
• Year: 2008
• Where: SSDBM
• Authors: Elke Achtert, Hans-Peter Kriegel, Arthur Zimek
• Keywords: Ad Hoc Solution, Algorithms, Consolidated Standards, Database, SSDBM 2008