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» A Novel Hybrid Neural Network for Data Clustering
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ICANN
2011
Springer
12 years 12 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
CDC
2008
IEEE
147views Control Systems» more  CDC 2008»
14 years 2 months ago
Clustering neural spike trains with transient responses
— The detection of transient responses, i.e. non– stationarities, that arise in a varying and small fraction of the total number of neural spike trains recorded from chronicall...
John D. Hunter, Jianhong Wu, John G. Milton
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 8 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
ICANN
2010
Springer
13 years 9 months ago
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Rudolf Mayer, Andreas Rauber
DCOSS
2010
Springer
14 years 1 months ago
A Novel Mobility Management Scheme for Target Tracking in Cluster-Based Sensor Networks
Abstract. Target tracking is a typical and important application of wireless sensor networks (WSNs). In the consideration of scalability and energy efficiency for target tracking ...
Zhibo Wang, Wei Lou, Zhi Wang, Junchao Ma, Honglon...