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ECAI
2008
Springer
15 years 6 months ago
An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. V...
DICTA
2007
15 years 6 months ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita
FOCS
2000
IEEE
15 years 9 months ago
Clustering Data Streams
The data stream model has recently attracted attention for its applicability to numerous types of data, including telephone records, web documents and clickstreams. For analysis o...
Sudipto Guha, Nina Mishra, Rajeev Motwani, Liadan ...
LCN
2005
IEEE
15 years 10 months ago
The Time-Controlled Clustering Algorithm for Optimized Data Dissemination in Wireless Sensor Networks
—Wireless sensor networks afford a new opportunity to observe and interact with physical phenomena at an unprecedented fidelity. To fully realize this vision, these networks have...
S. Selvakennedy, Sukunesan Sinnappan
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
15 years 10 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...