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ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
15 years 6 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
PODS
2005
ACM
115views Database» more  PODS 2005»
15 years 12 months ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...
WEBI
2009
Springer
15 years 6 months ago
Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering
We consider the problem of retrieving multiple documents relevant to the single subtopics of a given web query, termed “full-subtopic retrieval”. To solve this problem we pres...
Andrea Bernardini, Claudio Carpineto, Massimiliano...
IMCSIT
2010
14 years 9 months ago
Evaluation of Clustering Algorithms for Polish Word Sense Disambiguation
Word Sense Disambiguation in text is still a difficult problem as the best supervised methods require laborious and costly manual preparation of training data. Thus, this work focu...
Bartosz Broda, Wojciech Mazur
ECIR
2007
Springer
15 years 1 months ago
A Hierarchical Consensus Architecture for Robust Document Clustering
Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique f...
Xavier Sevillano, Germán Cobo, Francesc Al&...