self-organizing map (SOM)
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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Intrusion Detection System using Self Organizing Map: A Survey
... During the literature survey, we come across various SOM based model. Model [4], [5] and [13] are traditional SOM while [3] and [12] are of Hierarchical Self Organizing Map (HSOM). And [6], [7], [8], ...
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Hand Gesture Recognition System Using Kohonen Self Organizing Map
... Kohonen Self-Organizing Map, invented by Teuvo Kohonen, a professor of the Academy of Finland, assume a topological structure among the cluster ...the self- organizing process, the ...
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Student behavior analysis using self organizing map clustering technique
... used. Self-organizing map (SOM) [7] is chosen as a mining technique in order to analyze and cluster the students’ behavior that have been captured from the log data ...
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Social Interaction and Self-Organizing Map
... The self-organizing map (SOM) [1] is one of the most well-known techniques in neural ...because self-organizing maps are generally only concerned with competition and cooperation ...
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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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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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Antarctic sea ice: a self-organizing map-based perspective
... of self-organizing map (SOM) analysis (Kohonen, 2001) provides an objective way to optimally extract a user-specified number of icons or SOM states from an input ...
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The ubiquitous self-organizing map for non-stationary data streams
... Within this increasingly important field of research the application of artificial neu- ral networks to such task remains a fairly unexplored path. The self-organizing map (SOM) [1] is an ...
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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... Image segmentation is an essential step in image processing. Many image segmenta- tion methods are available but most of these methods are not suitable for noisy images or they require priori knowledge, such as knowledge ...
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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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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 Technique For Transformers Condition Monitoring From SFRA Result
... The transformer breakdown is common in the industry where the transformer is continuously used and it makes deterioration performance of transformer. Here the main problem where it need to define the characteristic of ...
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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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A modified kohonen self-organizing map (KSOM) clustering for four categorical data
... Continuous Self-Organizing Map (ContSOM) to extract the input data ...Concurrent Self-Organizing Map (ConcSOM) classifier was proposed by Emil et ...
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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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Visualization of Pareto Solutions by Spherical Self Organizing Map and It’s acceleration on a GPU
... One attempt at this challenge is the self-organizing map (SOM) [2], a kind of artificial neural network. A SOM is a means of translating high-dimension data to low-dimension data and is useful for ...
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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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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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ISLANDS OF GAUSSIANS: THE SELF ORGANIZING MAP AND GAUSSIAN MUSIC SIMILARITY FEATURES
... This paper builds on these findings and defines the weighted symmetrized Kullback-Leibler centroid to show how the Self Organizing Map (SOM) algorithm can work directly and naturally with Gaussians. ...
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