Weka (machine learning): Difference between revisions
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imported>Meg Taylor m (Weka (machine learing) moved to Weka (machine learning): spelling) |
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'''Weka''' is a software tool for applying machine learning algorithms to data. Weka contains implementations of a collection algorithms and is written in Java. | '''Weka''' is a software tool for applying machine learning algorithms to data. Weka contains implementations of a collection algorithms and is written in Java. | ||
The algorithms are sorted into the following categories: | The algorithms are sorted into the following categories: | ||
# Preprocessing | #Preprocessing | ||
# Classification | #Classification | ||
# Clustering | #Clustering | ||
# Association Rule Mining | #Association Rule Mining | ||
# Visualisation | #Visualisation | ||
Latest revision as of 00:31, 26 October 2009
- The content on this page originated on Wikipedia and is yet to be significantly improved. Contributors are invited to replace and add material to make this an original article.
Weka is a software tool for applying machine learning algorithms to data. Weka contains implementations of a collection algorithms and is written in Java.
The algorithms are sorted into the following categories:
- Preprocessing
- Classification
- Clustering
- Association Rule Mining
- Visualisation