ECML PKDD 2008
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
15 - 19 September 2008, Antwerp, Belgium
Demo abstractPleiades: Subspace Clustering and EvaluationIra Assent - RWTH Aachen University, GermanyEmmanuel Muller - RWTH Aachen University, Germany Ralph Krieger - RWTH Aachen University, Germany Timm Jansen - RWTH Aachen University, Germany Thomas Seidl - RWTH Aachen University, Germany Session: Demo 6 Springer Link: http://dx.doi.org/10.1007/978-3-540-87481-2_44 Subspace clustering mines the clusters present in locally relevant subsets of the attributes. In the literature, several approaches have been suggested along with different measures for quality assessment. Pleiades provides the means for easy comparison and evaluation of different subspace clustering approaches, along with several quality measures specific for subspace clustering as well as extensibility to further application areas and algorithms. It extends the popular WEKA mining tools, allowing for contrasting results with existing algorithms and data sets. |