Undesirable results of SOM learning and the feature of learning data

Kohonen's self organizing map (SOM) involves neural networks, for which an algorithm learns the feature of input data through unsupervised, competitive neighborhood learning. In many cases of SOM learning, if the data make classes in input data space with similar density, similar shape, and sim...

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Bibliographische Detailangaben

Hauptverfasser:	Miyoshi, T., Nishii, Y.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data engineering Data visualization feature of data Knowledge engineering learning Neoplasms Neural networks Organizing self organizing map Shape
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