About ELKI
From Debian's package description
ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.
Its focus is particularly on clustering and outlier detection methods, in contrast to many other data mining toolkits that focus on classification. Additionally, it includes support for index structures to improve algorithm performance such as R*-Tree and M-Tree.
The modular architecture is meant to allow adding custom components such as distance functions or algorithms, while being able to reuse the other parts for evaluation.
This package contains the compiled ELKI version, and launcher scripts.
From Debian's description of the elki package, under that package's license.
- Keywords
- Analysis, Anomaly, Cluster, Clustering, Outlier
- Menu categories
- Artificial intelligence, Computer science, Data visualization, Development, Education, Science
Dependencies
Depends on
default-jrelibbatik-javalibtrove3-javalibxmlgraphics-commons-javalibsvm3-java
Related apps
Orange Data MiningExplore, analyze, and visualize your data- Paje Trace ViewerView traces produced during the execution of multi-threaded programs
Ferret VisualisationWeather data analysis and visualization
ncl - NCAR command LanguageWeather data analysis and visualization- Little WizardDevelopment environment for children
camera-calibTool for easy calibration of monocular cameras
Sources and licenses
- Name and summary: the desktop entry in Debian's elki package, under that package's license.
- Description: Debian's description of the elki package, under that package's license.
- Versions and sizes: Debian's archive for ARM64, as on packages.debian.org.
- Popularity: Debian Popularity Contest counts.
More in About the catalog.