| Author: | | Matthias Schubert <schubert{[at]}dbs.ifi.lmu.de>, Zhanna Melnikova-Albrecht <melnikov{[at]}cip.ifi.lmu.de>, Rainer Holzmann <holzmann{[at]}cip.ifi.lmu.de> |
| Category: | | Clustering |
| Changes: | | OPTICS and DBSCAN now use distance functions from the core of WEKA. More distance functions can be applied, and normalization of attributes can now be turned off. Removed database parameter. |
| Date: | | 2014-05-21 |
| Depends: | | weka (>=3.7.1) |
| Description: | | The OPTICS and DBSCAN clustering algorithms. Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Second International Conference on Knowledge Discovery and Data Mining, 226-231, 1996; Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD International Conference on Management of Data, 49-60, 1999. |
| License: | | GPL 3.0 |
| Maintainer: | | Matthias Schubert <schubert{[at]}dbs.ifi.lmu.de>, Zhanna Melnikova-Albrecht <melnikov{[at]}cip.ifi.lmu.de>, Rainer Holzmann <holzmann{[at]}cip.ifi.lmu.de> |
| PackageURL: | | http://prdownloads.sourceforge.net/weka/optics_dbScan1.0.5.zip?download |
| URL: | | http://weka.sourceforge.net/doc.packages/optics_dbScan |
| Version: | | 1.0.5 |