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SAINT
2003
IEEE
15 years 7 months ago
Bayesian Analysis of Online Newspaper Log Data
In this paper we address the problem of analyzing web log data collected at a typical online newspaper site. We propose a two-way clustering technique based on probability theory....
Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petr...
PRL
2010
188views more  PRL 2010»
14 years 8 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
16 years 2 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
EURODAC
1995
IEEE
202views VHDL» more  EURODAC 1995»
15 years 5 months ago
Hardware-software co-synthesis of fault-tolerant real-time distributed embedded systems
Distributed systems are becoming a popular way of implementing many embedded computing applications, automotive control being a common and important example. Such embedded systems...
Santhanam Srinivasan, Niraj K. Jha
PR
2006
116views more  PR 2006»
15 years 1 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli