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» Self-organized chains for clustering
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KES
2004
Springer
14 years 2 months ago
Analyzing the Temporal Sequences for Text Categorization
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
Xiao Luo, A. Nur Zincir-Heywood
ESANN
2006
13 years 10 months ago
Weighted differential topographic function: a refinement of topographic function
Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
Lili Zhang, Erzsébet Merényi
NN
2006
Springer
113views Neural Networks» more  NN 2006»
13 years 8 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
SASO
2007
IEEE
14 years 3 months ago
Clustering Distributed Energy Resources for Large-Scale Demand Management
Managing demand for electrical energy allows generation facilities to be run more efficiently. Current systems allow for management between large industrial consumers. There is, ...
Elth Ogston, Astrid Zeman, Mikhail Prokopenko, Geo...
IJCNN
2006
IEEE
14 years 2 months ago
Behavior of Fatigable SOM and its Application to Clustering
Abstract— The Self-Organizing Map (SOM) is popular algorithm for unsupervised learning and visualization introduced by Teuvo Kohonen. One of the most attractive applications of S...
Masato Tomita, Haruna Matsushita, Yoshifumi Nishio