Self-Organizing Maps (SOMs)
Precipitation Regionalization Using Self Organizing Maps for Mumbai City, India
... The identified properties used for rainfall characterization can further be em- ployed to cluster the rain gauges. Cluster analysis techniques have been used by researchers in various parts of the world including India, ...
18
Country corruption analysis with self organizing maps and support vector machines.
... The general approach in the majority of these studies (e.g., [3]) is to regress a variable representing corruption on a number of independent variables for which the influence is tested with the possible inclusion of some ...
12
Self-organizing maps as an approach to exploring spatiotemporal diffusion patterns
... In this paper, we propose using self-organizing maps (SOMs) to study disease diffusion in space and time. SOMs are a well-known data-mining method, used to cluster and visualize high dimensional data ...
14
Classification of Engineering Consultancy Firms Using Self-Organizing Maps: A Scientific Approach
... - ORGANIZING M APS Self-organizing maps (SOMs), also known as Kohonen neural networks, Kohonen [3,4] use an unsupervised learning process to modify the internal state of a network to model the ...
10
Molecular subtyping of bladder cancer using Kohonen self-organizing maps
... Kohonen self-organizing maps (SOMs) are unsupervised Artificial Neural Net- works (ANNs) that are good for low-density data visualization. They easily deal with complex and nonlinear relationships ...
10
Distributed Range Free Localization Algorithm Based on Self Organizing Maps
... 2.1. Self-Organizing Maps. The Self-Organizing Maps (SOMs) were invented by Kohonen [16]. SOM provides a technique for representation of multidimensional data into much ...
9
Genome signatures, self organizing maps and higher order phylogenies:a parametric analysis
... Phylogenetic conclusions drawn from compar- ison of genome signatures have sometimes been controversial. For instance, Karlin et al. (1997) found that cyanobacteria do not form a coherent evolutionary group, and that ...
26
Optimization of supervised self-organizing maps with genetic algorithms for classification electrophoretic profiles
... use self-organizing maps ...of self-orga- nizing maps [24] and their applications in chemi- stry are described in detail in the literature ...supervised self-organizing ...
8
Hidden Markov Models and Self Organizing Maps Applied to Stroke Incidence
... Several studies were devoted to investigating the effects of meteorological factors on the occur- rence of stroke. Regression models had been mostly used to assess the correlation between weather and stroke incidence. ...
11
Medium Term Load Forecasting Using Statistical Feature Self Organizing Maps (SOM)
... The Hopfield (1982) introduce a chain neural network which; perform as a related memory that can recall a case from fractional or deformed version. The networks are not layered with complete attached between the nodes. ...
24
Towards model evaluation and identification using Self Organizing Maps
... Self-Organizing maps have found successful practical ap- plications in speech recognition, image analysis, catego- rization of electric brain signals (Kohonen, 2001) as well as process monitoring ...
11
Classification of Triadic Chord Inversions Using Kohonen Self-organizing Maps
... Abstract. In this paper we discuss the application of the Kohonen Self- organizing Maps to the classification of triadic chords in inversions and root positions. Our motivation started in the ...
9
Towards detection of perceptually similar sounds: investigating self organizing maps
... Towards detection of perceptually similar sounds: investigating self-organizing maps Christian Spevak; Richard Polfreman; Martin Loomes Faculty of Engineering and Information Sciences Un[r] ...
9
Data Clustering and Topology Preservation Using 3D Visualization of Self Organizing Maps
... The Self Organizing Maps (SOM) is regarded as an excellent computational tool that can be used in data mining and data exploration ...three-dimensional Self Organizing Maps ...
6
Monitoring industrial hydrogenation of soybean oil using self-organizing maps
... 2008). Self-organizing maps (SOM) or Kohonen Map is a type of ANN with non-supervised learning, which has applications in the identification and classification of vegetable oils (Grošelj, Vračko, ...
9
Spam Review Detection Using Self-Organizing Maps and Convolutional Neural Networks
... In this work, we introduce a novel approach to distinguish fake reviews from the truthful ones. This approach uses self-organizing maps (SOM) and convolutional neural networks (CNN) in a special ...
72
Face Recognition Using Neural Network Technique Som (Self Organizing Maps)
... Kohonen Self- Organizing Maps (SOM) algorithm to identify and classify the human face ...Kohonen self- organizing maps to highlight the advantages and disadvantages of neural ...
5
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 ...
7
Self Organizing Maps for Classification of a Multi Labeled Corpus
... Further research into the multi-label problem and its relation to large-topology Self-Organizing Maps is prudent, given the findings of the present work. Devising a fair evaluation scheme for mea- ...
10
Big Data Clustering Using Heuristic Data Intensive Computing and Self Organizing Maps
... using Self Organizing Maps (SOM) The Self-Organizing Map (SOM) is one most popular neural network ...the Self-Organizing Feature ...
7