tree
Tree is a machine learning software designed for classification and regression tasks. It utilizes decision tree algorithms to create intuitive models that enable users to analyze and visualize data patterns effectively. For more information, visit the [official CRAN page](https://CRAN.R-project.org/package=tree).
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Machine Learning in R
The package offers a robust interface for various classification and regression techniques, featuring machine-readable parameter descriptions.
kernlab
Kernlab is a specialized machine learning software offering a range of kernel-based methods for tasks such as classification, regression, clustering, novelty detection, and dimensionality reduction.
FPS
The FPS package offers a robust suite of clustering methods and validation techniques, including fixed point clustering and DBSCAN.
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oblique.tree
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RGP
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FRBS
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