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AIRS
2006
Springer
13 years 11 months ago
Natural Document Clustering by Clique Percolation in Random Graphs
Document clustering techniques mostly depend on models that impose explicit and/or implicit priori assumptions as to the number, size, disjunction characteristics of clusters, and/...
Wei Gao, Kam-Fai Wong
CICLING
2008
Springer
13 years 9 months ago
Evaluation of Internal Validity Measures in Short-Text Corpora
Short texts clustering is one of the most difficult tasks in natural language processing due to the low frequencies of the document terms. We are interested in analysing these kind...
Diego Ingaramo, David Pinto, Paolo Rosso, Marcelo ...
WEBI
2004
Springer
14 years 22 days ago
Using Semantic Graphs in Clustering Process : Enhance Information Level
In this paper, we particularly focused our attention on how to enhance expressivity of ontologies when used as organized space values in a catalogue request process. Using the Wis...
Jean-Sébastien Brunner, Isabelle Berrien
PVM
2001
Springer
13 years 11 months ago
Dynamic Process Management in KSIX Cluster Middleware
Dynamic process management is a much-needed feature for applications and tools development in Beowulf cluster environment. A welldefined and efficient dynamic process management in...
Thara Angskun, Putchong Uthayopas, Arnon Rungsawan...
CIMCA
2005
IEEE
14 years 1 months ago
Modeling the Cross-Cultural Adaptation Process of Immigrants Using Categorical Data Clustering
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
George E. Tsekouras