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NPL
2002
120views more  NPL 2002»
13 years 7 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
ICPR
2004
IEEE
14 years 8 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja
INFORMATICALT
2011
126views more  INFORMATICALT 2011»
13 years 2 months ago
Quality of Quantization and Visualization of Vectors Obtained by Neural Gas and Self-Organizing Map
Abstract. In this paper, the quality of quantization and visualization of vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. A ...
Olga Kurasova, Alma Molyte
ESANN
2000
13 years 8 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
DATAMINE
2010
120views more  DATAMINE 2010»
13 years 7 months ago
A weighted voting summarization of SOM ensembles
Abstract Weighted Voting Superposition (WeVoS) is a novel summarization algorithm for the results of an ensemble of Self-Organizing Maps. Its principal aim is to achieve the lowest...
Bruno Baruque, Emilio Corchado