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The Databionic ESOM Tools is a suite of programs to perform data mining tasks like clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM).
•Creation of classifier and automated application to new data •Creation of non-redundant U-Maps •Training with different initialization methods •Visualization of high dimensional dataspace •Animated visualization of the training process •Interactive, explorative data analysis
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Ease of use
7.6
7.1
Features & Functionality
7.6
8.8
Advanced Features
7.6
8.9
Integration
7.6
8.3
Performance
7.6
5.9
Customer Support
7.6
8.9
Implementation
10
Renew & Recommend
10
Bottom Line
Training of ESOM with different initialization methods, training algorithms, distance functions, parameter cooling strategies, ESOM grid topologies, and neighborhood kernels. Visualization of high dimensional dataspace with U-Matrix, P-Matrix, Component Planes, SDH, and more.
7.6
Editor Rating
8.5
Aggregated User Rating
3 ratings
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The Databionics ESOM Tools offer many data mining tasks using emergent self-organizing maps (ESOM). Visualization, clustering, and classification of high-dimensional data using databionic principles can be performed interactively or automatically. Its features include ESOM training, U-Matrix visualizations, explorative data analysis and clustering, ESOM classification, and creation of U-Maps.
The Databionic ESOM Tools is a suite of programs to perform data mining tasks like clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM). Features include training of ESOM with different initialization methods, training algorithms, distance functions, parameter cooling strategies, ESOM grid topologies, and neighborhood kernels.
The Databionics ESOM Tools also contain visualization of high dimensional dataspace with U-Matrix, P-Matrix, Component Planes, SDH, and more. There is also animated visualization of the training process and nteractive, explorative data analysis and clustering by linking ESOM to the training data, data classifications, and data descriptions. A added benefit is also the creation of ESOM classifier and automated application to new data and the creation of non-redundant U-Maps from toroid ESOM.
The ESOM Tools are being developed by the Databionics Research Group at the University of Marburg, Germany. The ESOM Tools are written in Java for maximum portability and published under the terms of the GPL. If you use the software for scientific research, please cite the following technical report and send us the reference for the list of publications. One of the main tools of the Databionics ESOM tools is for the purpose of education and research and so the company encourages constant feedback and advice.
Data mining tasks such as clustering, visualization, and classification
Company size
Enterprise (>1001)
User Role
End User
User Industry
Telecommunications
Rating
Ease of use8.3
Features & Functionality8.2
Advanced Features8.3
Customer Support8.3
ADDITIONAL INFORMATION Databionic ESOM is a tool designed to undergo data mining tasks such as clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM). Several initialization training methods are available with the software including training algorithms, distance functions, parameter cooling strategies, ESOM grid topologies, and neighborhood kernels. The system offers animated visualization of the training process with a high dimensional dataspace comprising U-Matrix, P-Matrix, Component Planes, SDH, and more. Tools are interactive using explorative data analysis and clustering by linking ESOM to the training data, data classifications, and data descriptions. ESOM Tools are written in Java for optimum usability. ESOM training has a low dimensional grid of high dimensional prototype vectors. The system offers an intuitive display of the structures present in the high dimensional space. The foreground functionality creates a display drawing the best matches so that users can control the remaining options using View tab. The overlap mode in the map display makes it easier for users to create islands containing each neuron exactly once.
Data mining tasks such as clustering, visualization, and classification
Enterprise (>1001)
End User
Telecommunications
ADDITIONAL INFORMATION
Databionic ESOM is a tool designed to undergo data mining tasks such as clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM). Several initialization training methods are available with the software including training algorithms, distance functions, parameter cooling strategies, ESOM grid topologies, and neighborhood kernels. The system offers animated visualization of the training process with a high dimensional dataspace comprising U-Matrix, P-Matrix, Component Planes, SDH, and more. Tools are interactive using explorative data analysis and clustering by linking ESOM to the training data, data classifications, and data descriptions. ESOM Tools are written in Java for optimum usability. ESOM training has a low dimensional grid of high dimensional prototype vectors. The system offers an intuitive display of the structures present in the high dimensional space. The foreground functionality creates a display drawing the best matches so that users can control the remaining options using View tab. The overlap mode in the map display makes it easier for users to create islands containing each neuron exactly once.