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» Algorithms for Clustering Data
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JCM
2007
105views more  JCM 2007»
15 years 4 months ago
Generalization Capabilities Enhancement of a Learning System by Fuzzy Space Clustering
Abstract— We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize t...
Zakaria Nouir, Berna Sayraç, Benoît F...
ADBIS
2006
Springer
103views Database» more  ADBIS 2006»
15 years 10 months ago
RA: An XML Schema Reduction Algorithm
XML file comparison and clustering are two challenging tasks still accomplished predominantly manually. XML schema contains information about data structure, types, and labels fou...
Angela Cristina Duta, Ken Barker, Reda Alhajj
BMCBI
2008
170views more  BMCBI 2008»
15 years 4 months ago
Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
Alexander G. Churbanov, Stephen Winters-Hilt
CCGRID
2007
IEEE
15 years 10 months ago
A Service-Oriented System to Support Data Integration on Data Grids
Data Grids provide transparent access to heterogeneous and autonomous data resources. The main contribution of this paper is the presentation of a data sharing system that (i) is ...
Anastasios Gounaris, Carmela Comito, Rizos Sakella...
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
15 years 10 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh