Results 11 to 20 of about 30,395 (263)
Analisis Cluster Data Interkomparasi Anak Timbangan dengan Algoritma Self Organizing Maps
Intercomparison was conducted to determine the ability and the performance of the laboratory. Intercomparison results are usually expressed in the range of En ratio values (En ?|1|) which express the equivalence of one laboratory with other laboratories.
Arif Fajar Solikin +2 more
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Market segmentation of coastal tourists with The self organizing maps approach [PDF]
: An individual’s choice for a particular destination depends on it's characteristics and different motivation of visitors. Therefore, in order to identify coastal tourist's profiles and motivation, this research was conducted among tourists who visit's ...
Manijeh Bahrainizadeh +2 more
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Fuel Cell Health Monitoring Using Self Organizing Maps
The problem of durability of fuel cell technology is central for its spreading and commercialization. There is therefore a growing need to build accurate diagnosis tools which can give the operating state of the fuel cell during their use.
R. Onanena +6 more
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Myxoid liposarcoma and Ewing sarcoma are the two most common tumor types that are characterized by the FET (FUS, EWSR1 and TAF15) fusion oncogenes. These FET fusion oncogenes are considered to have the same pathological mechanism.
Amin Forootan +5 more
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Expression cartography of human tissues using self organizing maps
Background Parallel high-throughput microarray and sequencing experiments produce vast quantities of multidimensional data which must be arranged and analyzed in a concerted way. One approach to addressing this challenge is the machine learning technique
Löffler Markus +3 more
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Document Clustering using Self-Organizing Maps
Cluster analysis of textual documents is a common technique for better ltering, navigation, under- standing and comprehension of the large document collection.
Muhammad Rafi +4 more
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Robust Self-organizing Maps [PDF]
The Self Organizing Map (SOM) model is an unsupervised learning neural network that has been successfully applied as a data mining tool. The advantages of the SOMs are that they preserve the topology of the data space, they project high dimensional data to a lower dimension representation scheme, and are able to find similarities in the data.
Héctor Allende +3 more
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Music Mood Visualization Using Self-Organizing Maps
Due to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters
Magdalena PLEWA, Bozena KOSTEK
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Los mapas auto-organizados o redes de Kohonen (SOM por sus siglas en inglés, self-organizing map) fueron introducidos por el profesor finlandés Teuvo Kalevi Kohonen en los años 80. Un mapa auto-organizado es una herramienta que analiza datos en muchas dimensiones con relaciones complejas entre ellos y los reduce o representa en, usualmente, una, dos o ...
openaire +2 more sources
Modeling multisensory enhancement with self-organizing maps
Self-organization, a process by which the internal organization of a system changes without supervision, has been proposed as a possible basis for multisensory enhancement in the superior colliculus (Anastasio and Patton 2003).
Jacob G Martin +2 more
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