套件：elki（0.7.1-10.1）

[ 原始碼： elki  ]

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.

標籤: 軟體開發: Java 開發, 函式庫, 領域: field::statistics, implemented-in::java, 使用者介面: 命令行, interface::graphical, interface::x11, 角色: 開發用函式庫, 程式, role::source, science::calculation, 科學: Visualization, 範圍: scope::utility, uitoolkit::gtk, Purpose: Analysing, 支援的格式: works-with-format::TODO, works-with-format::svg, 處理: 資料庫, X 視窗系統: 應用程式

其他與 elki 有關的套件

• 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

  Java API to support vector machine library (libsvm3.jar)

• dep: libtrove3-java

  high performance collections for java

• dep: libxmlgraphics-commons-java

  Reusable components used by Batik and FOP

• sug: elki-dev

  Data mining algorithm development framework - development files

• sug: libfop-java

  XML formatter driven by XSL Formatting Objects (XSL-FO.) - libs

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硬體架構	套件大小	安裝後大小	檔案
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