Kohonen Self-Organizing Map (KSOM)
Kohonen Self Organizing Map with Modified K-means clustering For High Dimensional Data Set
... of Kohonen Self Organizing Map (KSOM) so as to visualize exact number of clusters before clustering and genetic algorithm is applied for ...The Kohonen Self Organizing ...
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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 ...
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Hand Gesture Recognition System Using Kohonen Self Organizing Map
... using Kohonen Self-Organizing Map (SOM), an artificial neural network which learns to classify data without ...the Kohonen Self-Organizing ...
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Kohonen Self Organizing for Automatic Identification of Cartographic Objects
... Abstract Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the ...
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Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm
... used Kohonen SOM neural networks for clustering and their analysis to study unpredictable behaviors of network parameters and ...using Kohonen Self Organizing Map (KSOM) is computed for ...
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Landforms identification using neural network-self organizing map and SRTM data
... analysis. Kohonen Self Organizing Map (SOM) as an unsupervised neural network algorithm is used for classification of these morphometric parameters into 10 classes representing landforms ...
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Classification of Triadic Chord Inversions Using Kohonen Self-organizing Maps
... The main objective of a Kohonen Self-organizing Map (SOM) (1997) is to determine the mapping of a n dimensional input signals set into a bi-dimensional grid. This mapping occurs in an ...
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Self Organizing Map Approach for Identifying Mental Disorders
... The Kohonen network or Kohonen's Self-Organizing Map (SOM) or Kohonen's Self-Organizing (Feature) Map SO(F)M is one of the most popular network ...the Kohonen ...
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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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Maximal Ratio Combining using Self Organizing Map in Wireless Channels
... and Kohonen (non-supervised) algorithms, respectively. The SOM or Kohonen network is a tool for dimensionality reduction and ...otherwise map inputs to outputs ...
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Multistrategy self-organizing map learning for classification problems
... The training starts once the dataset has been initialised and input patterns have been selected. The learning phase of the SOM algorithm repeatedly presents numerous patterns to the network. The learning rule of the ...
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Color Reduction Using Local Features and a Kohonen Self-Organized Feature Map Neural Network
... a Kohonen self- organized feature map (SOFM), which is an unsupervised neural network (Kohonen, 1997; Haykin, 1994; Strouthopoulos and Pa- pamarkos, ...a self-organizing process ...
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Analysis of Performance Metrics from a Database Management System Using Kohonen s Self Organizing Maps
... The Self-Organization Maps developed by Teuvo Kohonen in 1982 [8] have the ability of revealing relationships between data through ...preserving map that reduces multi-dimensional data to a ...
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Image Fusion Using Self Organizing Feature Map With Histogram Equalization
... IJSRR, 7(4) Oct. – Dec., 2018 Page 2173 the most effective matching unit's neighbourhood. By observing these nodes can have their weight vectors altered within the next step. A singular feature of the Kohonen ...
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Intrusion Detection System using Self Organizing Map: A Survey
... The Self Organizing Map (SOM) is neural network model first described by the Finnish professor Teuvo Kohonen [15] and also referred as a Kohonen Map or Kohonen Neural ...
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Antarctic sea ice: a self-organizing map-based perspective
... each SOM node (or state) based on distances (differences) between best-matching reference vectors and each input record. From a randomly (i.e. evenly distributed across the input data space) or ...
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Molecular subtyping of bladder cancer using Kohonen self-organizing maps
... While the two-pathway biology of BC is generally accepted, many tumors have aspects of low- and high-grade biology. For example, FGFR3 mutations are not found in CIS (carcinoma in situ) but they coexist with TP53 muta- ...
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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK
... On the other hand, in unsupervised tech- nique inherent features extracted from the image is used for the segmentation. Unsupervised seg- mentation based on clustering includes K-means, Fuzzy C-Means (FCM) and ANN. ...
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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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Enhanced self organizing map with particle swarm optimization for classification problems
... The performance of standard SOM, ESOM, SOMPSO and ESOMPSO using various distance measures: Euclidean distance, Manhattan distance, and Chebyshev distance, are evaluated and compared. [r] ...
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