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NIPS
1997
15 years 7 months ago
Active Data Clustering
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Thomas Hofmann, Joachim M. Buhmann
CEC
2007
IEEE
16 years 23 days ago
MRI brain image segmentation by fuzzy symmetry based genetic clustering technique
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...
Sriparna Saha, Sanghamitra Bandyopadhyay
CLUSTER
2007
IEEE
16 years 23 days ago
Sequential and parallel implementation of a constraint-based algorithm for searching protein structures
— Data mining in biological structure libraries can be a powerful tool to better understand biochemical processes. This article introduces the LISA algorithm which enables the re...
Sascha Hunold, Thomas Rauber, Georg Wille
BMCBI
2007
163views more  BMCBI 2007»
15 years 6 months ago
A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluati
Background: A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free t...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
DMIN
2006
142views Data Mining» more  DMIN 2006»
15 years 7 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout