Release 3.3.0

The 3.3.0 release brings significant improvements in the scalability of the STC clustering algorithm, improvements to the Controller API and a number of minor bug fixes.

Significant scalability improvements	Release 3.3.0 significantly improves scalability of the content preprocessing chain used by Carrot2 clustering algorithms. This results in almost 7x faster clustering in case of the STC algorithm applied to larger collections of documents. Due to a specific algorithmic nature, the Lingo clustering algorithm received only a modest performance gain.
Controller API improvements	With release 3.3.0, the component instance pooling and data caching facilities of the CachingController have been separated. ControllerFactory can now create controllers with any combination of pooling (enabled/disabled) and caching (enabled/disabled). For more details, please see the JavaDoc and the related JIRA issue.
Optional attributes visible by default in Workbench	Release 3.3.0 of the Document Clustering Workbench by default shows both required and optional attributes of document sources in the Search View.
Dependency updates	A number of dependencies have been updated: Lucene to version 3.0.1 High Performance Primitive Collections to version 0.2.0 Ehcache to version 1.7.1

---

For a complete list of improvements and bug fixes, see JIRA issues fixed in version 3.3.0. For more new features, please see release 3.2.0 and release 3.1.0 notes.