The “Self-Organizing Map” (SOM)
Clustering of the Self-Organizing Map
... the Self-Organizing Map Juha Vesanto and Esa Alhoniemi, Student Member, IEEE Abstract—The self-organizing map (SOM) is an excellent tool in exploratory phase of data ...the ...
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Data topology visualization for the Self-Organizing Map
... The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and ...
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The Time Adaptive Self Organizing Map for Distribution Estimation
... feature map represented by the set of weight vectors of the basic SOM (Self-Organizing Map) provides a good approximation to the input space from which the sample vectors ...
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Application of Self Organizing Map for Exploration of REEs’ Deposition
... considered. Self-organizing map or briefly SOM is a type of artificial neural network (ANN), which is applied for clustering and its advantages, is to involve topological settings of dataset and ...
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Integrative Self Organizing Map—A Mean Pattern Model
... integrative self-organizing map (iSOM) for exploring differential expression patterns across multiple microarray ...feature map of an iSOM model can be used to reveal correlation between ...
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Multistrategy self-organizing map learning for classification problems
... of Self-Organizing Map (SOM) and Particle Swarm Optimization (PSO) is commonly implemented in clustering domain due to its capabilities in handling complex data ...
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Self Organizing Map Approach for Identifying Mental Disorders
... The Self-Organizing Map (SOM) is considered as the most popular artificial neural network algorithm in the unsupervised learning category. Many industrial projects use the SOM as a tool for solving ...
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Self-Organizing Map-based Applications in Remote Sensing
... The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning technique to train itself in an unsupervised ...
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Incipient Faults Diagnosis by Employing Self Organizing Map
... The Self Organizing Map (SOM) plays a versatile role in providing an initial organization of the data and is an epistemological tool for acquiring an understanding of the semantics of data and for ...
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The Application of the Self Organizing Map to the Vehicle Routing Problem
... well across all problem instances. Therefore, in order to help understand the diversity in the benchmark problem sets, the performance of three CVRP algorithms across all problem instances is considered. The expectation ...
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Generative Probability Density Model in the Self-Organizing Map
... Abstract. The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A theoretical and practical challenge in the SOM has been the diffi culty to treat the method as a ...
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INTRUSION DETECTION SYSTEM USING SELF ORGANIZING MAP
... Self-Organizing Map has been successfully applied in complex application areas where traditional method has ...to map to 2-dimension ...
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Customer Segmentation of Credit Card Default by Self Organizing Map
... Keywords Self Organizing Map, Clustering, Machine Learning, Credit Default 1. Introduction SOM is an unsupervised machine learning method using artificial neuro net- work to reduce data complexity ...
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Implementasi Self Organizing Map Dalam Kompresi Citra Digital
... algoritma Self – Organizing Map (SOM) untuk mengolah tiap – tiap piksel pada citra sehingga kompresi dapat dimaksimalkan dengan Run Length ...
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A consideration on the labels of Self-Organizing Map after refresh learning
... Kohonen’s Self-Organizing Map (SOM) is a kind of neural networks that learns the feature of multi dimension data without ...on map every time after refresh ...feature map that detect ...
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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks
... In this paper, a new algorithm for detecting communities in social networks is presented. This algorithm is designed based on self-organizing map (SOM). The advantage of using SOM is that the method ...
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Application of Kohonen Self-Organizing Map for Urban Structure Analysis
... Abstract— Kohonen Self-organizing Map (SOM) has been widely used to discover clusters in datasets of various real world applications. Urban structure, as characterized by various social, economic, ...
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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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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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Using Discriminant Analysis to Verify the Clustering of Self-Organizing Map
... The data models according to the hot spots spreading in Indonesian forests are usually available with the large of feature space and heterogeneous of distribution patterns. The complexities of this hot spot data ...
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