منابع مشابه
Processing Symbolic Data With Self-Organizing Maps
Current research on machine learning and related algorithms is focused mainly on numeric paradigms. It is, however, widely supposed that intelligent behavior strongly relies on ability to manipulate symbols. In this paper we present on-line versions of self-organizing maps for symbol strings. The underlying key concepts are average and similarity, applied on strings. These concepts are easily d...
متن کاملUbiquitous Data-Mining with Self-Organizing Maps
Advances in technology are turning our mobile phones or PDAs into powerful computing devices capable of executing data mining algorithms. This paper discusses how the Self Organizing Map (SOM) algorithm can be adapted to a cooperating network of these devices. This approach opens the door to several new applications of data mining, including active data-collecting devices and ondemand knowledge...
متن کاملCartogram Data Projection for Self-Organizing Maps
Self-Organizing Maps (SOMs) are often visualized by applying Ultsch’s Unified Distance Matrix (U-Matrix) and labeling the cells of the 2-D grid with training data observations. Although powerful and the de facto standard visualization for SOMs, this does not provide for two key pieces of information when considering real world data mining applications: (a) While the U-Matrix indicates the locat...
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ژورنال
عنوان ژورنال: IJARCCE
سال: 2015
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2015.43131