套件: elki (0.7.1-6)
elki 的相關超連結
Trisquel 的資源:
下載原始碼套件 elki:
維護者:
Original Maintainer:
- Erich Schubert
外部的資源:
- 主頁 [elki-project.github.io]
相似套件:
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.
其他與 elki 有關的套件
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- dep: default-jre (>= 2:1.7)
- Standard Java or Java compatible Runtime
- 或者 java7-runtime
- 本虛擬套件由這些套件提供: default-jre, openjdk-11-jre, openjdk-8-jre
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- dep: libbatik-java (>= 1.9)
- xml.apache.org SVG Library
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- dep: libsvm3-java
- Java API to support vector machine library (libsvm3.jar)
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- dep: libtrove3-java
- high performance collections for java
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- dep: libxmlgraphics-commons-java (>= 2.2)
- Reusable components used by Batik and FOP
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- sug: elki-dev
- Data mining algorithm development framework - development files
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- sug: libfop-java
- XML formatter driven by XSL Formatting Objects (XSL-FO.) - libs