Cluster-grouping: from subgroup discovery to clustering
By Albrecht Zimmermann, Luc De Raedt. 2004
49 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Information Systems, Signal Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Jeffrey Chan
- Pedro Pablo Gonzalez
- Anna Lukina
- James Bailey
- M. J. Jesús
- Peter James Stuckey
- C. Leckie
- Francisco Herrera
In Information Systems
- M. J. Jesús
- Peter James Stuckey
- Jeffrey Chan
- Pedro Pablo Gonzalez
- Anna Lukina
- James Bailey
- C. Leckie
- Francisco Herrera
In Signal Processing
- C. Leckie
- Jeffrey Chan
- Pedro Pablo Gonzalez
- Anna Lukina
- James Bailey
- M. J. Jesús
- Peter James Stuckey
- Francisco Herrera
Citations in the corpus
- MurTree: Optimal Decision Trees via Dynamic Programming and Search (2020, methodology): “Ordering search nodes according to a heuristic is common in combinatorial optimisation, e.g., variable selection in integer/constraint programming, and in the data mining literature, e.g., Zaki (2000); Zimmermann and De Raedt (2009).”
- An overview on subgroup discovery: foundations and applications (2011, methodology): “This approach proposes using cluster-grouping [117] as a subtask to perform the subgroup discovery.”