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» Standardized Evaluation Method for Web Clustering Results
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ICML
2005
IEEE
16 years 7 months ago
Learning from labeled and unlabeled data on a directed graph
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Bernhard Schölkopf, Dengyong Zhou, Jiayuan Hu...
ICTAI
2007
IEEE
16 years 20 days ago
On Evaluation Methodologies for Text Segmentation Algorithms
The WindowDiff evaluation measure [12] is becoming the standard criterion for evaluating text segmentation methods. Nevertheless, this metric is really not fair with regard to the...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 11 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
CIARP
2005
Springer
15 years 12 months ago
Dynamic Hierarchical Compact Clustering Algorithm
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Reynaldo Gil-García, José Manuel Bad...
SIGIR
2010
ACM
15 years 6 months ago
Analysis of structural relationships for hierarchical cluster labeling
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
Markus Muhr, Roman Kern, Michael Granitzer