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ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures. Its focus is particularly on clustering ... [More] and outlier detection methods, in contrast to many other data mining toolkits that focus on classification. Additionally, it includes support for index structures to improve algorithm performance such as R*-Tree and M-Tree. The modular architecture is meant to allow adding custom components such as distance functions or algorithms, while being able to reuse the other parts for evaluation. [Less]

Neddick is part of the Fogcutter suite of tools for building intelligent applications. Neddick provides tools for tagging, ranking, discussing and discovering various sources of knowledge: web-links, documents, people, etc. It's over-simplifying a little bit, but think of Neddick as sort of a ... [More] combination of Reddit, Delicious and Planet. Mix in a powerful search engine, and a recommendations engine, and it lets you categorize, rate, tag, filter, discuss, and discover the knowledge in ways that most enterprise search applications can't. Point Neddick at the RSS feed coming from your Document Management System, feed it some web-links, post some questions, tag some article, vote some things up or down, and let Neddick help you discover the knowledge you need. [Less]