multiple self-organizing maps
Data Clustering and Topology Preservation Using 3D Visualization of Self Organizing Maps
... The focus of the research was on the development of 3D- SOM, an enhanced SOM visualization technique that should be able to cluster data in three-dimensional xyz-axis. The 3D- SOM program has been developed by using high ...
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Analyzing TCP Traffic Patterns Using Self Organizing Maps
... There are multiple reasons for choosing a SOM for this purpose. The algo- rithm is robust with regard to the choice of the number of classes to divide the data into, and it is also resistant to the presence of ...
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Community health assessment using self-organizing maps and geographic information systems
... between multiple determinants of health outcomes, refer- ring to such interactions as ...from multiple environmental components and the complex relationships considered ...
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Self Organizing Maps for Classification of a Multi Labeled Corpus
... Saarikoski et al. (2011) noticed how the costly training of SOMs is followed by cheap testing of new instances when doing classification, and sug- gested using multiple maps for multi-label clas- ...
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Using self-organizing maps for visualization and interpretation of cytometry data
... The first possibility is to use an array of character strings, specifying paths to files or directories. When given a path to a directory, all files in the directory will be considered. This process does not happen ...
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Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns
... geospatial maps, SOM maps, parallel coor- dinate and table plots ...color maps, approaches exist for advanced mappings adjusting for non-uniform distribu- tions of SOM distances [KVK00] and ...
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Optimization of supervised self-organizing maps with genetic algorithms for classification electrophoretic profiles
... In the remaining part of this discussion, we will analyze model number 1 in more detail (Table 1). The trained supervised SOM for this model (in which different areas are properly labeled) is pre- sented on Figure 4. One ...
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An Analytic investigation into self organizing maps and their network topologies
... produce maps with enhanced clustering ability which would be better suited to clustering multiple features present in the training ...the self-organizing ...
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Molecular subtyping of bladder cancer using Kohonen self-organizing maps
... Our knowledge of the molecular changes in BC has con- siderably grown over recent years [25]. Currently, a num- ber of conventional clinicopathological factors are useful in predicting survival of bladder cancer ...
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Monitoring industrial hydrogenation of soybean oil using self-organizing maps
... the multiple initialization procedure, it was observed that the topological properties of the data were preserved and the neighborhood relationships between the samples were the same for all the obtained ...
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Catchment classification by runoff behaviour with self organizing maps (SOM)
... classification and conclude that “there is a need for a classifi- cation system in which each catchment is another data point and would increase the understanding about how catchment functions are defined.” Furthermore, ...
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Big Data Clustering Using Heuristic Data Intensive Computing and Self Organizing Maps
... The Self-Organizing Map (SOM) is one most popular neural network model. It is a unsupervised learning which means that no human interaction is needed during the learning.SOM is used for clustering data ...
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Self Organizing Chinese and Japanese Semantic Maps
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MUNICIPAL CREDITWORTHINESS MODELLING BY NEURAL NETWORKS
... Kohonen’s self-organizing feature maps and K-means algorithm is a suitable method for municipal creditworthiness ...Kohonen’s self-organizing feature maps and fuzzy logic neural ...
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Comparative Visual Analysis of Large Customer Feedback Based on Self-Organizing Sentiment Maps
... SOM-Based Visual Analysis of Geospatial Data. Many application problems involve georeferenced data items, and visual analysis approaches have been identified as very helpful also for geospatial data analysis processes ...
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Intelligent Computational Modeling and Prediction of Coliform Growth in Tropical Lakes based on Hybrid Self Organizing Maps (SOM) and Fuzzy Logic Approaches
... of self organizing maps and fuzzy logic in modeling and predicting the growth of total bacteria coliform in tropical ...of self organizing maps (SOM) in this study is to derive ...
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Country corruption analysis with self organizing maps and support vector machines.
... of self organizing maps were used to study the interconnections between various macro-economical variables and the perceived level of corruption The use of multi-year data sets al- lowed us to ...
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Precipitation Regionalization Using Self Organizing Maps for Mumbai City, India
... Based on a comprehensive review, the time series of rain gauge records is broken down into separate rain events by a defined dry period between rains re- ferred to as the minimum inter-event time (MIT), which is often ...
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Spam Review Detection Using Self-Organizing Maps and Convolutional Neural Networks
... pooling technique that makes the size of activation maps resulting from each convo- lutional layer smaller and more manageable. The last step is to design a mechanism for interpretation of an image and its ...
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Abnormal data cleaning in thermal power plant based on self-organizing maps
... This paper constructs a self-organizing maps (SOM) neural network model for the anomaly data cleaning in thermal power plant detection. The test data is trained 2000 times so that the vector of each ...
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