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» Automatically labeling hierarchical clusters
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EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 5 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
ECML
2007
Springer
13 years 9 months ago
User Oriented Hierarchical Information Organization and Retrieval
Abstract. In order to organize huge document collections, labeled hierarchical structures are used frequently. Users are most efficient in navigating such hierarchies, if they refl...
Korinna Bade, Marcel Hermkes, Andreas Nürnber...
SIGIR
2004
ACM
13 years 11 months ago
Parameterized generation of labeled datasets for text categorization based on a hierarchical directory
Although text categorization is a burgeoning area of IR research, readily available test collections in this field are surprisingly scarce. We describe a methodology and system (...
Dmitry Davidov, Evgeniy Gabrilovich, Shaul Markovi...
PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
13 years 4 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
EDM
2010
129views Data Mining» more  EDM 2010»
13 years 7 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers