Weka for Mac3.8.2

Weka Development Team(Open Source)

Note des utilisateurs9

Publicité

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

Titre
Weka for Mac,3.8.2 pour Mac
Taille du fichier:
124.15 MB
Pré-requis:
  • Mac OS X
Langue
Français
Langues disponibles
  • Français,
  • Anglais,
  • Italien,
  • Espagnol,
  • Polonais,
  • Chinois,
  • Allemand,
  • Japonais
Licence:
Open Source
Date ajoutée:
Monday, January 15th 2018
Auteur
Weka Development Team

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

SHA-1:
b7041c985ceef85ce434f1ab84135384a6a87331

Nous n'avons pas encore d'informations sur le changelog pour cette version 3.8.2 de Weka for Mac. Parfois les développeurs tardent à rendre cette information disponible. Nous vous invitons à consulter l'information à jour d'ici quelques jours.

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