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Weka for Mac3.8.2

Weka Development Team(免费)

用户评分9

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Weka for Mac is a collection of machine learning algorithms for solving real-world data mining problems.The algorithms can either be applied directly to a data set or called from your own Java code.

It contains the tools you'll need for data pre-processing, classification, regression, clustering, association rules, and visualization. The application is also appropriate for developing new machine learning schemes.

Key features include:

  • Machine learning.
  • Data mining.
  • Pre-processing.
  • Classification.
  • Regression.
  • Clustering.
  • Association rules.
  • Attribute selection.
  • Experiments.
  • Workflow.
  • Visualization.

Weka for Mac's collection of algorithms range from those that handle data pre-processing to modeling. The core data mining algorithms include regression, clustering and classification.

Although Weka for Mac has a full suite of algorithms for data analysis, it has been built to handle data as single flat files. Subsequently, it does not handle multi-relational mining and sequence modeling.

Overall, Weka for Mac is a good data mining tool with a comprehensive suite of algorithms. The interface is OK, although with four to choose from, each with their own strengths, it can be awkward to choose which to work with, unless you have a thorough knowledge of the application.

Looking for the Windows version of Weka for Mac? Download Here

标题;
Weka for Mac 3.8.2 Mac 版
文件大小:
124.15 MB
要求:
  • Mac OS X
语言:
中文
适用语言:
  • 中文,
  • 英文,
  • 德文,
  • 日文,
  • 波兰文,
  • 法文,
  • 西班牙文,
  • 意大利文
许可证:
免费
添加日期:
Monday, January 15th 2018
作者:
Weka Development Team

https://www.cs.waikato.ac.nz/ml/weka

SHA-1:
b7041c985ceef85ce434f1ab84135384a6a87331

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