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Lehrstuhl fr Informatik 9 Zeit: Donnerstag, 11.11.2010, 16.30 Uhr

Summary: Lehrstuhl für Informatik 9
Zeit: Donnerstag, 11.11.2010, 16.30 Uhr
Ort: AH I, Ahornstr. 55
Referent: Michael E. Houle
Visiting Professor
National Institute of Informatics
Tokyo, Japan
Titel: The Relevant-Set Correlation Model for Data Clustering
This presentation introduces a model for clustering, the Relevant-Set Correlation
(RSC) model, that requires no direct knowledge of the nature or representation of the
data. Instead, the RSC model relies solely on the existence of an oracle that accepts a
query in the form of a reference to a data item, and returns a ranked set of references
to items that are most relevant to the query. The quality of cluster candidates, the de-
gree of association between pairs of cluster candidates, and the degree of association
between clusters and data items are all assessed according to the statistical signifi-
cance of a form of correlation among pairs of relevant sets and/or candidate cluster
sets. The RSC significance measures can be used to evaluate the relative importance
of cluster candidates of various sizes, avoiding the problems of bias found with other


Source: Ábrahám, Erika - Fachgruppe Informatik, Rheinisch Westfälische Technische Hochschule Aachen (RWTH)


Collections: Computer Technologies and Information Sciences