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self-organizing map model

Radial Basis Function based Self-Organizing Map Model for Clustering Spatial Data using PCA

Radial Basis Function based Self-Organizing Map Model for Clustering Spatial Data using PCA

... RBF is used to improve the accuracy of the SOM model [5]. On the other hand, PCA is also merged with SOM to improve the power of the SOM model. The present paper is for improvement of the PCA based SOM ...

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Internet Traffic Forecasting Model Using Self Organizing Map and Support Vector Regression Method

Internet Traffic Forecasting Model Using Self Organizing Map and Support Vector Regression Method

... Internet traffic forecasting is one of important aspect in order to fulfill the customer demand. So, the service quality of internet service provider (ISP) can be maintained at the good level. In this study self ...

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NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK

NOISY IMAGE SEGMENTATION USING A SELF-ORGANIZING MAP NETWORK

... a self-organizing map (SOM) with some changes in its structure and training ...a model of noise, and consequently, segment noisy image as well by using spatial information and two statistical ...

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Customer Segmentation of Credit Card Default by Self Organizing Map

Customer Segmentation of Credit Card Default by Self Organizing Map

... DOI: 10.4236/ajcm.2018.83015 198 American Journal of Computational Mathematics ble data. Directly using the whole raw data to build model could not only hurt the accuracy but also limit the explanation power of ...

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Integrative Self Organizing Map—A Mean Pattern Model

Integrative Self Organizing Map—A Mean Pattern Model

... The second simulated scenario satisfies the condition X ⊃ Y . The mean differential expression structure is the same as above. The X space is composed of all ten diffe- rential expression patterns while the Y space is ...

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The ubiquitous self-organizing map for non-stationary data streams

The ubiquitous self-organizing map for non-stationary data streams

... GNG model [9] is able to follow non-stationary distributions by creating nodes like in a regu- lar GNG and deleting them when they have a too small utility ...evolving self-organizing map ...

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Towards model evaluation and identification using Self Organizing Maps

Towards model evaluation and identification using Self Organizing Maps

... of model output time series according to the similarity in the tempo- ral patterns of their residuals obtained through Monte-Carlo ...“semantic map” of model realizations will be examined by relating ...

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Self-organizing map and multilayer perceptron for malay speech recognition

Self-organizing map and multilayer perceptron for malay speech recognition

... simplified binary matrix recognition problem. The binary matrices are generated and simplified while preserving most of the useful information by means of a SOM. Then, word recognition turns into a problem of binary ...

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SOMSN: An Effective Self Organizing Map for Clustering of Social Networks

SOMSN: An Effective Self Organizing Map for Clustering of Social Networks

... In this method a number is selected for the number of output neurons. And using a simple logic calculates the geometrical distance of the model. Input and output neurons are initialized with binary values. The ...

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Lifestyle patterns in the Iranian population: Self- organizing map application

Lifestyle patterns in the Iranian population: Self- organizing map application

... As for consuming oil, the participants were categorized into 2 groups: 1) people who mostly consumed saturated oil (hydrogenated vegetable fats, butter or other animal fats, margarine) and 2) those who mainly consumed ...

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Proposed Algorithms To Solve Big Data Traveling Salesman Problem

Proposed Algorithms To Solve Big Data Traveling Salesman Problem

... This article introduces two proposed algorithms to solve traveling salesman problem by clustering using three methods; k- means, Gaussian Mixture Model, and Self-Organizing Map to sele[r] ...

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INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON 
SELF DISCLOSURE LEVELS VIA FACEBOOK

INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK

... new model for big data sentiment classification using a Self-Organizing Map Algorithm (SOM) – an unsupervised learning of a machine learning to classify the sentiments (positive, negative, or ...

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An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation

An Application of Partitive Clustering Algorithm for Landslide Hazard Zonation

... a model for predicting landslide ...[9][10], self-organizing map [12] and artificial neural network models ...Kohonen self-organizing maps (SOM) as part of the unsupervised ...

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Multistrategy self-organizing map learning for classification problems

Multistrategy self-organizing map learning for classification problems

... In classification process; normally, large classes of objects are separated into smaller classes. This approach can be very complicated due to the challenge in identifying the criteria especially for procedures involving ...

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SELF ORGANIZING MAP BASED CLUSTERING MODEL BY ANALYZING EIGEN SYSTEM OF PCA

SELF ORGANIZING MAP BASED CLUSTERING MODEL BY ANALYZING EIGEN SYSTEM OF PCA

... It has already been discussed in previous section that PCA and SOM both are capable of retaining the essential information of a dataset in lesser number of selected components individually in a sophisticated way.Number ...

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Incipient Faults Diagnosis by Employing Self Organizing Map

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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Clustering pests of rice using self organizing map

Clustering pests of rice using self organizing map

... The SaM consists of a regular, usually two-dimensional (2D), grid of map units. The units are connected to adjacent ones by a neighbourhood relation. The number of [r] ...

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A Self-Organizing Model for Logic Regression

A Self-Organizing Model for Logic Regression

... mathematical model similar to the way biological organisms are created through ...to model the real world than earlier ...the model begins to “over-fit” the real world, thus stopping when the ...

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Mining hidden information from library databases using SOM (Self Organizing Map)

Mining hidden information from library databases using SOM (Self Organizing Map)

... (Self Organizing Map) on SOM (Self Organizing Map) Algorithm to Order Documents Algorithm to Order Documents Based on Their Full Text ...

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