Artifacts using weka-dev version 3.9.0

Trainable Segmentation plugin for Fiji.

The MEKA project provides an open source implementation of methods for multi-label classification and evaluation. It is based on the WEKA Machine Learning Toolkit. Several benchmark methods are also included, as well as the pruned sets and classifier chains methods, other methods from the scientific literature, and a wrapper to the MULAN framework.

LIMES Core Library

LIMES – Link Discovery Framework for Metric Spaces.

service.impl

A Maven project implementing an ImageJ 1.x plugin

Weka implementation of hyperSMURF using EasyEnsemble and SMOTE

The project contains utilities to run validation tasks in Weka library.

Tools for weka written in Clojure