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» Evaluation of text clustering methods using wordnet
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BMCBI
2008
117views more  BMCBI 2008»
14 years 9 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
CIKM
2006
Springer
15 years 1 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...
RIAO
2007
14 years 11 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
CSIE
2009
IEEE
15 years 4 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
76
Voted
TREC
1998
14 years 10 months ago
TREC-7 Evaluation of Conceptual Interlingua Document Retrieval (CINDOR) in English and French
: TextWise LLC. participated in the TREC-7 Cross-Language Retrieval track using the CINDOR system, which utilizes a "conceptual interlingua" representation of documents a...
Anne Diekema, Farhad Oroumchian, Paraic Sheridan, ...