Artifacts using weka-dev version 3.9.2

Trainable Segmentation plugin for Fiji.

Massive On-line Analysis is an environment for massive data mining. MOA provides a framework for data stream mining and includes tools for evaluation and a collection of machine learning algorithms. Related to the WEKA project, also written in Java, while scaling to more demanding problems.

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.

ImgLib2 Labkit

Tracking 2D [tr2d]

Segmentation plugin for tr2d allowing to load saved segmentations

Trainable segmentation features implemented with imglib2.

service.impl

Runs tr2d set up to suit Hernan's needs.

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