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ELKI
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ELKI

Overview
Synopsis

The ELKI framework is written in Java and built around a modular architecture. Most currently included algorithms belong to clustering, outlier detection and database indexes. A key concept of ELKI is to allow the combination of arbitrary algorithms, data types, distance functions and indexes and evaluate these combinations.

Category

Data Mining Software

Features

• Open source data mining software
• High performance and scalability
• Simple visualization window
• Data management tasks
• Standard Java API

License

Open Source

Price

Free

Pricing

Subscription

Free Trial

Available

Users Size

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

Website
What is best?

• Open source data mining software
• High performance and scalability
• Simple visualization window
• Data management tasks
• Standard Java API

What are the benefits?

• JAVA data mining software
• Allows R code
• Data mining and data management are worked as separate tasks
• Free for scientific use
• Community of users contributing with algorithm to ELKI

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Ease of use
7.5
8.1
Features & Functionality
7.5
8.3
Advanced Features
7.5
8.4
Integration
7.5
8.5
Performance
7.5
8.1
Training
8.2
Customer Support
7.5
8.5
Implementation
8.1
Renew & Recommend
8.2
Bottom Line

ELKI is modeled around a database core, which uses a vertical data layout that stores data in column groups (similar to column families in NoSQL databases).

7.5
Editor Rating
8.3
Aggregated User Rating
You have rated this

The ELKI framework is written in Java and built around a modular architecture. Most currently included algorithms belong to clustering, outlier detection and database indexes. A key concept of ELKI is to allow the combination of arbitrary algorithms, data types, distance functions and indexes and evaluate these combinations. When developing new algorithms or index structures, the existing components can be reused and combined.

ELKI is modeled around a database core, which uses a vertical data layout that stores data in column groups (similar to column families in NoSQL databases). This database core provides nearest neighbor search, range/radius search, and distance query functionality with index acceleration for a wide range of dissimilarity measures. Algorithms based on such queries (e.g. k-nearest-neighbor algorithm, local outlier factor and DBSCAN) can be implemented easily and benefit from the index acceleration. The database core also provides fast and memory efficient collections for object collections and associative structures such as nearest neighbor lists.

The visualization module uses SVG for scalable graphics output, and Apache Batik for rendering of the user interface as well as lossless export into PostScript and PDF for easy inclusion in scientific publications in LaTeX. Exported files can be edited with SVG editors such as Inkscape.

ELKI

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1 Reviews
  • Osvaldo Noella
    March 12, 2017 at 1:14 pm

    Separate tasks for data mining and data management

    What is best?

    Here, an important advantage of this software is the accomplishment of separate tasks for data mining and data management, which allows an optimization of the programming and algorithms for these two components.

    Company size

    Medium (50 to 1000)

    User Role

    Super User

    User Industry

    Education

    Rating
    Ease of use8.1

    Features & Functionality8.3

    ELKI data mining software is fully written in Java. It works by searching algorithms, especially in unsupervised methods of class analysis. Programming is based on R, which provides a tremendous amount of code and exceptional performance, but with the advantage of being easy to access for researchers and students of the area. The goal is to provide a large number of algorithms, highly parameterizable, and from here to implement what best applies to a given task.

    Advanced Features8.4

    Integration8.5

    Performance8.1

    Training 8.2

    Customer Support8.5

    Implementation8.1

    Renew & Recommend8.2

    ADDITIONAL INFORMATION
    The ELKI software also allows the analysis of arbitrary data, measures of distance or similarity, and accessibility to different database file formats. The team that actively develops ELKI can be found on the website of this software as well as its qualifications. A number of scientific publications on the software can still be consulted, and accompany the releases of different versions of ELKI. A code base is also available through the ELKI website, where a variety of already tested and widely optimized functions can be used.

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

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