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Databionic ESOM
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Databionic ESOM

Overview
Synopsis

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).

Category

Data Mining Software Free

Features

•Different initialization methods
•Training algorithms
•Distance functions
•Parameter cooling strategies ESOM grid topologies
•Neighborhood kernels.

License

Open Source

Price

Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Company

Databionic ESOM

What is best?

•Different initialization methods
•Training algorithms
•Distance functions
•Parameter cooling strategies ESOM grid topologies

What are the benefits?

•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

PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
8.3
Features & Functionality
7.6
8.2
Advanced Features
7.6
8.3
Integration
7.6
Performance
7.6
Training
Customer Support
7.6
8.3
Implementation
Renew & Recommend
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
8.3
Aggregated User Rating
2 ratings
You have rated this

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.

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1 Reviews
  • Camille Square
    September 14, 2017 at 11:29 am

    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.

Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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