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[ Source: elki  ]

Paketti: elki (0.7.1-10~18.04)

Data mining algorithm development framework

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.

Muut pakettiin elki liittyvät paketit

  • depends
  • recommends
  • suggests
  • dep: default-jre (>= 2:1.8)
    Standard Java or Java compatible Runtime
  • dep: libbatik-java (>= 1.10)
    xml.apache.org SVG Library
  • dep: libsvm3-java
    Paketti ei saatavilla
  • dep: libtrove3-java
    high performance collections for java
  • dep: libxmlgraphics-commons-java (>= 2.2)
    Paketti ei saatavilla
  • sug: elki-dev
    Data mining algorithm development framework - development files
  • sug: libfop-java
    Paketti ei saatavilla

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