Kohonen self-organizing maps
Screening of minerals, proximate composition and physico-chemical characteristics in the discrimination of Oiti (Licania tomentosa (Benth.) Fritsch.) using Kohonen self-organizing maps, PCA and HCA / Triagem de minerais, composição centesimal e características físico-químicas na discriminação de Oiti (Licania tomentosa (Benth.) Fritsch.) usando mapas auto-organizados de Kohonen, PCA e HCA
... (Kohonen self-organizing maps, PCA and HCA) were applied to separate and classify the samples, according to proximate composition, physical-chemical characteristics and mineral content, in ...
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SEISMIC INTERPRETATION OF SELF-ORGANIZING MAPS USING 2D COLOR DISPLAYS
... ABSTRACT. Classification without supervision of patterns into groups is formally called clustering. Depending on the application area these patterns are called data lists, observations or vectors. For exploration ...
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Visualization of Clusters in Geo-referenced Data Using Three-dimensional Self-Organizing Maps
... the Kohonen projection method (Kraaijveld, et ...the Kohonen projection method, the degree of neighbourhood is a function of the maximum distance observed between the unit and the neighbouring units ...
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Enhanced Data Topology Preservation with Multilevel Interior Growing Self-Organizing Maps
... Growing Self-Organizing Maps) which is generated by a growth ...oriented maps. A performance comparison of three Self-Organizing networks, the Kohonen feature Map (SOM), ...
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Image Clustering Method Based on Density Maps Derived from Self-Organizing Mapping: SOM
... Meanwhile, Self-Organizing Map: SOM proposed by T. Kohonen is a neural network with two layers which allows use as un-supervised classification, or learning method [5] based on a similarity between ...
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ELECTROFACIES CHARACTERIZATION USING SELF-ORGANIZING MAPS
... The geological models of hydrocarbon reservoirs are based on the estimates of reservoir properties, such as: lithology, porosity, permeability and fluid type (e.g. Alhoniemi et al., 1999; Bhatt & Helle, 2002; Matos ...
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Fingerprint Image Segmentation Using Haar Wavelet and Self Organizing Map
... Although some features have been chosen by researchers, finding simple and discriminative features is still a challenging problem. This paper proposed a new segmentation method based on block-wise features generated by ...
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Functional grouping and establishment of distribution patterns of invasive plants in China using self-organizing maps and indicator species analysis
... Self-organizing maps represent an artificial neural network model (Kohonen, 1982) aiming to clas- sify high dimensional data, performing a non-linear projection of multidimensional data space ...
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New developmental stages for common marmosets (Callithrix jacchus) using mass and age variables obtained by K-means algorithm and self-organizing maps (SOM)
... The self-organizing map algorithm is an unsupervised neural net- work developed by Kohonen [16]. This neural network is usually a uni- or bi-dimensional lattice. These neurons receive the input data ...
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Quantifying Postural Control during Exergaming Using Multivariate Whole-Body Movement Data: A Self-Organizing Maps Approach.
... the self-organizing map (SOM) or Kohonen map, to compare and visual- ize coordination patterns in multi-dimensional data ...and organizing the information to a low-dimensional mapping ...
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Pagamento de proventos versus preços deações maduras e em expansão segundo Kohonen Maps.
... ABSTRACT This study investigates if the results distribution policy is capable of changing the price of a company’s shares. The objective of this work is to discuss the impact that paying dividends has on the share price ...
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Hepatitis B Diagnosis Using Logical Inference and Self-Organizing Map
... The kohonen Self-Organizing Map (SOM) which is an unsupervised neural-network like algorithm that performs clustering of input data and, at the same time, maps it to a two-dimensional surface, ...
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EXPLORATORY GEOSPATIAL DATA ANALYSIS USING SELF-ORGANIZING MAPS
... In this thesis a type of neural network, the Self-Organizing Maps (SOM), is used to perform data clustering and projection. It has been applied in a large variety of tasks, such as pattern ...
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CARTO-SOM Cartogram creation using self-organizing maps
... The SOM dimension and size depends on the problem at hand. This is mainly an empirical process (Kohonen, 2001), where usually a two-dimension SOM is used due to its representation in the space. The size of the SOM ...
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Nodules Segmentation in Breast Ultrasound using the Artificial Neural Network Self-Organizing Map
... Abstract — This work presents a proposal for localization and delimitation of suspicious masses in breast ultrasound images by selecting regions of interest. The presence of speckle noise, which is a characteristic type ...
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BUSINESS CUSTOMERS SEGMENTATION WITH THE USE OF K-MEANS AND SELF-ORGANIZING MAPS: AN EXPLORATORY STUDY IN THE CASE OF A SLOVENIAN BANK
... Yet, unless they want to be led into the wrong direction, practitioners have to be very careful about choosing and refining the appropriate variables on which to segment (Zimme[r] ...
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A Scalable, Self-organizing Communications System for very large Wireless Sensor Networks
... the self-configuration of nodes and the data collection from ...the self-configuration problem, three algorithms are proposed that allow nodes in the network to automatically identify their closest ...
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Realistic three dimensional fitness landscapes generated by self organizing maps for the analysis of experimental HIV-1 evolution.
... estimated. Self-Organizing Maps (SOM) are a class of Artificial Neural Network (ANN) for the generation of topological ordered ...These maps were used for the visualization and study of the ...
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Function Approximation of Seawater Density Using Genetic Algorithm
... and Self Organizing Map ...inject Self-Organizing map in the procedure to reduce the effect of the complexity of the model on the computation time and combine the evolving feature of the ...
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Can Social Contagion Help Global Health ‘Jump the Shark’?; Comment on “How to Facilitate Social Contagion?”
... In the third of a series of articles on the possibilities for (social) network theory and analysis in health systems policy and management, Karl Blanchet gives a good introduction to ‘How to facilitate social contagion?’ ...
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