StreamKM++

[view experimental results]

A Clustering Algorithm for Data Streams

Joint work with reserach group Prof. Dr. Christian Sohler.

Project partially funded by DFG priority program 1307.

Publications

• Ackermann, Lammersen, Märtens, Raupach, Sohler, Swierkot: "StreamKM++: A Clustering Algorithm for Data Streams". In Proceedings of the 12th Workshop on Algorithm Engineering and Experiments (ALENEX 2010). [download here] (529 kB)

Sourcecode

• algorithm StreamKM++: [download here] (15kB)

• algorithm LocalSearch: → http://infolab.stanford.edu/~loc/

• algorithm BIRCH: → http://pages.cs.wisc.edu/~vganti/birchcode/

• testing environment: [download here] (1,1 MB)

Documentation

• How to use our testing environment

Datasets

• Tower: → http://homepages.uni-paderborn.de/frahling/coremeans.html
• Census 1990: → http://archive.ics.uci.edu/ml/datasets/US+Census+Data+%281990%29
• Covertype: → http://archive.ics.uci.edu/ml/datasets/Covertype

• BigCross: [download here] (223 MB)

Legal Mumbo-Jumbo

Sourcecode and data files provided on this webpage come without any warranty. Use at your own risk!

The sourcecode provided on this webpage is the intellectual property of its authors. You have permission to download and use this sourcecode for the sake of inspection and for private and academic use. You are not allowed to redistribute this sourcecode without our permission. If you want to use the sourcecode in any other way as granted above, please contact Christian Sohler <csohler[at]upb.de>.