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» Cluster detection algorithm in neural networks
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WAW
2004
Springer
178views Algorithms» more  WAW 2004»
15 years 3 months ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
NN
1998
Springer
177views Neural Networks» more  NN 1998»
14 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
BMCBI
2006
216views more  BMCBI 2006»
14 years 9 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
NN
2006
Springer
113views Neural Networks» more  NN 2006»
14 years 9 months ago
Large-scale data exploration with the hierarchically growing hyperbolic SOM
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that al...
Jörg Ontrup, Helge Ritter
ICUMT
2009
14 years 7 months ago
Free-CLASH - improved localization-free clustering in large wireless sensor networks
This paper investigates topology management of large wireless sensor networks. Due to their random deployment, nodes have to organize themselves as energy efficient as possible to ...
Jakob Salzmann, Ralf Behnke, Jiaxi You, Dirk Timme...