Data Mining Algorithms In R/Packages/RWeka

Description

An R interface to Weka (Version 3.7.2). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars.

Requirements

R (>= 2.6.0)

RWekajars (>= 3.7.2)

rJava (>= 0.6-3)

Java (>= 5.0)

General API

1. Evaluate Weka Classifier
2. Predict Weka Classifier
3. Predict Weka Clusterer
4. Weka associators
5. Weka classifiers
6. Weka classifiers functions
7. Weka classifier lazy
8. Weka classifier meta
9. Weka classifier rules
10. Weka classifier trees
11. Weka clusterers
12. Weka control
13. Weka converters
14. Weka filters
15. Weka interfaces
16. Weka stemmers
17. Weka tokenizers

IO API

1. Dot
2. Read.arff
3. Write.arff

Package API

1. WOW
2. WPM