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Kohonen Self-Organizing Feature Maps (SOFMs)

Kohonen Self Organizing Map with Modified K-means clustering For High Dimensional Data Set

Kohonen Self Organizing Map with Modified K-means clustering For High Dimensional Data Set

... Kohonen Self Organizing Feature Maps, or SOMs provide a way of representing multidimensional data in much lower dimensional spaces - usually one or two ...the Kohonen technique ...

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EFFICIENT IMAGE COMPRESSION TECHNIQUE USING SELF ORGANIZING FEATURE MAPS

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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Musical Note Extraction using Self Organizing Feature Maps

Musical Note Extraction using Self Organizing Feature Maps

... The model of identification that is proposed in this paper is based on Kohonen’s Self Organizing Feature Maps. It employs unsupervised learning. The choice of unsupervised learning is because ...

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Medium Term Load Forecasting Using Statistical Feature Self Organizing Maps (SOM)

Medium Term Load Forecasting Using Statistical Feature Self Organizing Maps (SOM)

... ANN techniques have many types of method approach. To apply the ANN technique into the load forecasting, one must choose one of the architecture approaches; Back- propagation, Hopfield, Kohonen‟s ...

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Wave extreme characterization using self-organizing maps

Wave extreme characterization using self-organizing maps

... general feature of SOM, as the non-univoque character of both ran- dom initialization and selection of the data in the sequential algorithm lead to always different, though consistent, SOMs (Kohonen, ...

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Analysis of Performance Metrics from a Database Management System Using Kohonen s Self Organizing Maps

Analysis of Performance Metrics from a Database Management System Using Kohonen s Self Organizing Maps

... Kohonen’s Self-Organizing Maps can be used to analyze performance metrics of a ...the feature maps of components permits the discovery of patterns and relationships between the ...

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Vowel recognition using Kohonen's self-organizing feature maps

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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Self Organizing Maps for the Visual Analysis of Pitch Contours

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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Molecular subtyping of bladder cancer using Kohonen self-organizing maps

Molecular subtyping of bladder cancer using Kohonen self-organizing maps

... given feature is significantly highest in any subcluster as compared to others, the symbol of the subcluster and the respective significance level ( *P < ...

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Face Recognition Using Neural Network Technique Som (Self Organizing Maps)

Face Recognition Using Neural Network Technique Som (Self Organizing Maps)

... for feature extraction and Kohonen Self- Organizing Maps (SOM) algorithm to identify and classify the human face ...of Kohonen self- organizing maps to ...

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Monitoring industrial hydrogenation of soybean oil using self-organizing maps

Monitoring industrial hydrogenation of soybean oil using self-organizing maps

... with self-organizing maps (SOM) may be an alternative to extract relevant information during the ...weight maps depicted the variation of monounsaturated fatty acids associated with the ...

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Country corruption analysis with self organizing maps and support vector machines.

Country corruption analysis with self organizing maps and support vector machines.

... part, self organizing maps are applied to study the interconnections between these ...a self orga- nizing map allows a detailed comparison between the different models’ ...

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Hidden Markov Models and Self Organizing Maps Applied to Stroke Incidence

Hidden Markov Models and Self Organizing Maps Applied to Stroke Incidence

... Several studies were devoted to investigating the effects of meteorological factors on the occur- rence of stroke. Regression models had been mostly used to assess the correlation between weather and stroke incidence. ...

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Distributed Range Free Localization Algorithm Based on Self Organizing Maps

Distributed Range Free Localization Algorithm Based on Self Organizing Maps

... 2.1. Self-Organizing Maps. The Self-Organizing Maps (SOMs) were invented by Kohonen [16]. SOM provides a technique for representation of multidimensional data into much ...

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Color Reduction Using Local Features and a Kohonen Self-Organized Feature Map Neural Network

Color Reduction Using Local Features and a Kohonen Self-Organized Feature Map Neural Network

... a feature clustering ...entire feature set is completed by additional features that are extracted from neighboring ...The feature set feeds a Kohonen self- organized feature map ...

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Towards detection of perceptually similar sounds: investigating self organizing maps

Towards detection of perceptually similar sounds: investigating self organizing maps

... Towards detection of perceptually similar sounds: investigating self-organizing maps Christian Spevak; Richard Polfreman; Martin Loomes Faculty of Engineering and Information Sciences Un[r] ...

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Precipitation Regionalization Using Self Organizing Maps for Mumbai City, India

Precipitation Regionalization Using Self Organizing Maps for Mumbai City, India

... Based on a comprehensive review, the time series of rain gauge records is broken down into separate rain events by a defined dry period between rains re- ferred to as the minimum inter-event time (MIT), which is often ...

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Using self-organizing maps for visualization and interpretation of cytometry data

Using self-organizing maps for visualization and interpretation of cytometry data

... a self-organizing map. Several parameters for the self-organizing map algorithm can be provided, such as the dimensions of the grid, the learning rate, the number of times the dataset has to ...

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Analyzing TCP Traffic Patterns Using Self Organizing Maps

Analyzing TCP Traffic Patterns Using Self Organizing Maps

... a Self Organizing Map algorithm [4] is indeed able to sensibly cluster payload data, discovering interesting information in an unsu- pervised manner, and that it performs much better than a K-means ...

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