Waikato Environment for Knowledge Analysis (WEKA) is a machine learning library that was developed at the University of Waikato, New Zealand, and is probably the most well-known Java library. It is a general purpose library that is able to solve a wide variety of machine learning tasks, such as classification, regression, and clustering. It features a rich graphical user interface, command-line interface, and Java API. You can check out Weka at http://www.cs.waikato.ac.nz/ml/weka/.
At the time of writing this book, Weka contains 267 algorithms in total: data preprocessing (82), attribute selection (33), classification and regression (133), clustering (12), and association rules mining (7). Graphical interfaces are well suited for exploring ...
