Kohonen Self-Organizing Maps
Molecular subtyping of bladder cancer using Kohonen self-organizing maps
... Kohonen self-organizing maps (SOMs) are unsupervised Artificial Neural Net- works (ANNs) that are good for low-density data visualization. They easily deal with complex and nonlinear ...
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Classification of Triadic Chord Inversions Using Kohonen Self-organizing Maps
... the Kohonen Self- organizing Maps to the classification of triadic chords in inversions and root ...the Kohonen network, which has been generally known as an optimum pattern ...
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Face Recognition Using Neural Network Technique Som (Self Organizing Maps)
... and Kohonen Self- Organizing Maps (SOM) algorithm to identify and classify the human face ...of Kohonen self- organizing maps to highlight the advantages and ...
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Image Compression using Neural Network
... Artificial Neural Networks have been applied to many problems [3][11], and have demonstrated their superiority over classical methods when dealing with noisy or incomplete data. One such application is for data ...
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Musical Note Extraction using Self Organizing Feature Maps
... a Self-Organizing Map (SOM). Teuvo Kohonen [16] has developed a method, known as Kohonen’s algorithm, to perform the job of spatially dividing up the input data into clusters in the ...
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Catchment classification by runoff behaviour with self organizing maps (SOM)
... that maps each attribute set x to one of the predefined class labels y (Tan et ...like Kohonen networks and fuzzy c-means, which are straightforward in application and were found to iden- tify broadly ...
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Vowel recognition using Kohonen's self-organizing feature maps
... Vowel Recognition using Kohonen's Self-Organizing Feature Maps Jury 25, 1991 buf[132]; char char value[20]; int answer; Frame frame = PANEL_CLIENT_DATA; xv_getitem, strcpyvalue, xv_getit[r] ...
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An Attempt to Recognize Handwritten Tamil Character Using Kohonen SOM
... easy. Self-organizing feature maps (SOFM or SOM) are unsupervised machine learning that learns by self-organizing and competition ...the Kohonen rule ...
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Mapping model behaviour using Self Organizing Maps
... ral network algorithm that performs a non-linear mapping of the dominant structures present in a high-dimensional data field onto a lower-dimensional grid. The SOM has found di- verse applications in fields such as ...
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Wave extreme characterization using self-organizing maps
... Parameters controlling the SOM topology and batch- learning have been accurately examined and their values have been chosen as the result of a sensitivity analysis aimed at attaining the lowest mean quantization and ...
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Self Organizing Maps for Classification of a Multi Labeled Corpus
... Self-Organizing Maps (Kohonen, 1982) is a Clus- ter Analysis Algorithm with roots in Artificial Neural Networks, also termed Kohonen Neural Networks, as discussed by Lo et ...
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Self Organizing Maps for the Visual Analysis of Pitch Contours
... In principle, any distance function, projection or clustering method could be applied in our extensi- ble framework. The central problem that needs to be resolved is that the high dimensional data from the Input Vectors ...
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An Analytic investigation into self organizing maps and their network topologies
... In this thesis the Kohonen Self Organizing Map algorithm is implemented as described in section 3.3. Also implemented are different network topologies for the SOM as discussed in Section 4. ...
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Towards model evaluation and identification using Self Organizing Maps
... a Self-Organizing Map (SOM) (Kohonen, 2001) is used to represent the spec- trum of model realizations obtained from Monte-Carlo simu- lations with a distributed conceptual watershed model based on ...
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EFFICIENT IMAGE COMPRESSION TECHNIQUE USING SELF ORGANIZING FEATURE MAPS
... In this paper we present a compression scheme where the input image data is splitted into 4x4 non-overlapping blocks and each block serves as input to the Kohonen’s Neural Network. The Kohonen’s Self ...
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Style classification and visualization of art painting’s genre using self-organizing maps
... the self-organizing map (SOM) proposed by Kohonen is used in order to classify the styles using the extracted features from "Feature extraction for art paint- ings" ...
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Classification of Engineering Consultancy Firms Using Self-Organizing Maps: A Scientific Approach
... In this study, an SOM was applied to aid the selection of appropriate consultant firms. There is wide variation in the requirements for the preparation of studies and designs for various types of buildings and facilities ...
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Community health assessment using self-organizing maps and geographic information systems
... The self-organizing map algorithm (SOM) has been applied in medical research to address the need for non- linear analytical methods to study the multifaceted aetiol- ogy of certain ...diseases. ...
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Extracting Bilingual Lexica from Comparable Corpora Using Self Organizing Maps
... A self-organizing map (SOM) (Kohonen, 1982; 1995) is one of the artificial neural network mod- els and represents a huge amount of input data in a more illustrative form in a lower-dimensional ...
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Hidden Markov Models and Self Organizing Maps Applied to Stroke Incidence
... Our first case of SOM was performed by selecting as target layer 16 (= 4 × 4) grids of units composed of 4 units at horizontal coordinate and 4 units at vertical coordinate.Then, SOM mapped the data of weather elements ...
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