This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint
clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported
by WEKA could be used in DocCO. Data could be loaded from files, from
databases or from specified URL. All the preprocessing techniques implemented in
WEKA could be used before performing the learning.

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow DocCO

DocCO Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of DocCO!

Additional Project Details

Operating Systems

Java ME, Linux, Windows

Intended Audience

Information Technology

User Interface

Java Swing

Programming Language

Java

Database Environment

Flat-file, JDBC

Related Categories

Java Information Analysis Software, Java Machine Learning Software

Registered

2013-07-30