Python (>=2.6) in path and NumPy module installed,
ghostscript (>=9.0)

This package is an interface for R of WebMA of Yahoo!
Japan. http://developer.yahoo.co.jp/webapi/jlp/ma/v1/parse.html

person("Alexandre", "Gondeau", email = "alexandre.gondeau@gmail.com", role = c("aut", "cre"))
Weighted object version of k-means algorithm, robust against outlier data.

Kurt Hornik, Torsten Hothorn, Alexandros Karatzoglou, et al
An R interface to Weka.
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.

Kurt Hornik, with contributions from Christian Buchta,
Torsten Hothorn, Alexandros Karatzoglou, David Meyer, and
Achim Zeileis

An R interface to Weka (Version 3.5.3).
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. Both the R interface and Weka itself are contained
in the RWeka package. For more information on Weka see
http://www.cs.waikato.ac.nz/ml/weka/.

An R interface to Weka (Version 3.5.5).
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. Both the R interface and Weka itself are contained
in the RWeka package. For more information on Weka see
http://www.cs.waikato.ac.nz/ml/weka/.

An R interface to Weka (Version 3.4.7).
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. Both, the R interface and Weka itself, are contained
in the RWeka package. For more information on Weka see
http://www.cs.waikato.ac.nz/ml/weka/.

An R interface to Weka (Version 3.5.2).
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. Both the R interface and Weka itself are contained
in the RWeka package. For more information on Weka see
http://www.cs.waikato.ac.nz/ml/weka/.