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ESANN
2006
13 years 11 months ago
An algorithm for fast and reliable ESOM learning
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...
Mario Nöcker, Fabian Mörchen, Alfred Ult...
ICDM
2003
IEEE
101views Data Mining» more  ICDM 2003»
14 years 3 months ago
Interactive Visualization and Navigation in Large Data Collections using the Hyperbolic Space
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS...
Jörg A. Walter, Jörg Ontrup, Daniel Wess...
JMM2
2008
92views more  JMM2 2008»
13 years 10 months ago
Dimensionality Reduction using SOM based Technique for Face Recognition
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
Dinesh Kumar, C. S. Rai, Shakti Kumar
ICCBR
2007
Springer
14 years 4 months ago
A Methodology for Analyzing Case Retrieval from a Clustered Case Memory
Abstract. Case retrieval from a clustered case memory consists in finding out the clusters most similar to the new input case, and then retrieving the cases from them. Although th...
Albert Fornells, Elisabet Golobardes, Josep Maria ...
JUCS
2010
150views more  JUCS 2010»
13 years 8 months ago
SOM Clustering to Promote Interoperability of Directory Metadata: A Grid-Enabled Genetic Algorithm Approach
: Directories provide a general mechanism for describing resources and enabling information sharing within and across organizations. Directories must resolve differing structures a...
Lei Li, Vijay K. Vaishnavi, Art Vandenberg