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NPL
2002
120views more  NPL 2002»
13 years 4 months ago
A Novel Measure for Quantifying the Topology Preservation of Self Organizing Feature Maps
Recently, feature maps have been applied to various problem domains.The success of some of these applications critically depends on whether feature maps are topologically ordered. ...
Mu-Chun Su, Hsiao-Te Chang, Chien-Hsing Chou
ESANN
2000
13 years 5 months ago
Bootstrapping Self-Organizing Maps to assess the statistical significance of local proximity
One of the attractive feature of Self-Organizing Maps (SOM) is the so-called "topological preservation property": observations that are close to each other in the input s...
Eric de Bodt, Marie Cottrell
IJCNN
2000
IEEE
13 years 9 months ago
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm
It is often reported in the technique literature that the success of the self-organizing feature map (SOM) formation is critically dependent on the initial weights and the selectio...
Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang
IJCNN
2006
IEEE
13 years 10 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
ICC
2007
IEEE
126views Communications» more  ICC 2007»
13 years 10 months ago
A New Initial Codebook Algorithm for Learning Vector Quantization
—In this paper, a new sorting initial codebook algorithm for learning vector quantization (LVQ) based upon selforganizing feature maps (SOM) has been proposed. The basic idea is ...
Hongsong Li, Baohua Xu