Data Mining Algorithms and Tools in Weka

Introduction

This page contains links to overview information (including references to the literature) on the different types of learning schemes and tools included in Weka.

• Classifiers (covers supervised classification and regression)
• Clusterers (unsupervised learning)
• Associations
• Attribute Selection (evaluators and search methods)
• Preprocessing Filters (supervised and unsupervised data preprocessing)
• Information for packages that can be downloaded and installed via the package management system in Weka >= 3.7.2 can be found http://weka.sourceforge.net/packageMetaData/