Title: Cluster-grouping: From subgroup discovery to clustering
Authors: Zimmermann, Albrecht ×
De Raedt, Luc #
Issue Date: Sep-2004
Publisher: Springer-verlag berlin
Series Title: Machine learning: ecml 2004, proceedings vol:3201 pages:575-577
Conference: European Conference on Machine Learning edition:15
Abstract: The problem of cluster-grouping is defined. It integrates subgroup discovery, mining correlated patterns and aspects from clustering. The algorithm CG for solving cluster-grouping problems is presented and experimentally evaluated on a number of real-life data sets. The results indicate that the algorithm improves upon the subgroup discovery algorithm CN2-WRACC and is competitive with the clustering algorithm CobWeb.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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