Self-Organizing Map
Mining hidden information from library databases using SOM (Self Organizing Map)
... (Self Organizing Map) on SOM (Self Organizing Map) Algorithm to Order Documents Algorithm to Order Documents Based on Their Full Text ...
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Efficient Satellite Image Segmentation using Energetic Self Organizing Map
... Abstract—Satellite images often require segmentation in the presence of uncertainly which caused due to factors like environmental condition, poor resolution and poor illumination. Image processing applications depends ...
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Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm
... Kohonen Self Organizing Map (KSOM) is computed for various numbers of nodes by taking different parameters of sensor node such as direction, position, number of hops, energy levels, sensitivity, ...
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Software Reusability Classification and Predication Using Self Organizing Map (SOM)
... Kohonen’s Self-Organizing Map uses an arranged set of neurons usually in 2-D rectangular or hexagonal grid ...two-dimensional map [35], and learn or discover the underlying structure of the ...
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Hand Gesture Recognition System Using Kohonen Self Organizing Map
... This paper focused on the vision-based approach for recognizing static hand gestures representing letters of the alphabet, enter, space and backspace keys captured using a CMU camera and converted to computer readable ...
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Student behavior analysis using self organizing map clustering technique
... E-learning is the resulting product from the evolution of internet technology. It acts as a medium of learning virtually without limitation of time and space and the need for teachers to be present physically. Currently, ...
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Customer Segmentation of Credit Card Default by Self Organizing Map
... The implementation of SOM algorithms to deal with complicated data has at- tracted considerable attention from many researchers [3]-[9]. [10] [11] intro- duced concept of SOM, followed by [11] make development and ...
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INTEGRATION OF THE SELF-ORGANIZING MAP AND NEURAL GAS WITH MULTIDIMENSIONAL SCALING
... The self-organizing map (SOM) is a class of neural networks that are trained in an unsupervised manner using a competitive learning [12]. The neural gas is a biologically inspired adaptive algorithm ...
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Creation of Text Document Matrices and Visualization by Self-Organizing Map
... Abstract. In the paper, text mining and visualization by self-organizing map (SOM) are investigated. At first, textual information must be converted into numerical one. The results of text mining and ...
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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... In this paper, an algorithm is proposed based on self- organizing map (SOM). This algorithm accepts the structure of a social network as its input in the form of a neighborhood graph of the social ...
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Self Organizing Map Improved for Classification of Partial Discharge using Desirability Function
... for Self Organizing Map (SOM) using Response Surface Methodology (RSM) and Desirability Function to find the optimal parameters to improve ...
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MR Brain Image Segmentation Based on Self Organizing Map and Neural Network
... on Self-organizing map and fuzzy C-mean ...the Self-organizing map and fuzzy C mean algorithm to detect brain tumor, the efficiency have been proved by the results obtained from ...
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A modified kohonen self-organizing map (KSOM) clustering for four categorical data
... T he Kohonen Self-Organizing Map (KSOM) is one of the Neural Network unsupervised learning algorithms. This algorithm is used in solving problems in various areas, especially in clustering complex ...
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Landforms identification using neural network-self organizing map and SRTM data
... Applying occurrence filter with 9×9 window to 10 individual landform element maps and using the resulting texture maps as input to a SOM allowed the mapping of 4 major landforms including mountains with steep slopes, ...
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Adaptive Offset Subspace Self Organizing Map: An Application to Handwritten Digit Recognition
... Analysis Self-Organizing Map (PCASOM), where the manifold learning is realized by using an incremental ...Manifold Self-Organizing Map (AMSOM) as an extension of the basic ...
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Maximal Ratio Combining using Self Organizing Map in Wireless Channels
... of Self Organizing Map (SOM) which is a type of unsupervised Artificial Neural Network (ANN), as an aid to Maximal Ratio Combining (MRC) in order to improve bit error rate (BER) values of demodulated ...
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Self Organizing Map Technique For Transformers Condition Monitoring From SFRA Result
... Distribution transformer is the transformer that steps down the voltage from primary voltage of the electric distribution to the customer. Here, the transformer is provide alternating current power by electronic magnetic ...
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Enhanced Self Organizing Map Neural Network for DNA Sequence Classification
... Self-Organizing Map (SOM) is one of the widely ap- plied neural networks and has some interesting features over other neural networks. One advantages of using SOM is that it is quite robust with ...
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Clustering Web Usage Data using Concept Hierarchy and Self Organizing Map
... Kohenen’s Self Organizing Map to organize Web documents into a two dimensional map according their document ...Kohonen’s Self Organizing Map to organize Web page in to two ...
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Lifestyle patterns in the Iranian population: Self- organizing map application
... As for consuming oil, the participants were categorized into 2 groups: 1) people who mostly consumed saturated oil (hydrogenated vegetable fats, butter or other animal fats, margarine) and 2) those who mainly consumed ...
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