Author:Anna Huang
Category:Clustering
Date:2012-03-20
Depends:weka (>=3.7.1)
Description:Cluster data using the sequential information bottleneck algorithm.

Note: only hard clustering scheme is supported. sIB assign for each instance the cluster that have the minimum cost/distance to the instance. The trade-off beta is set to infinite so 1/beta is zero.

For more information, see:

Noam Slonim, Nir Friedman, Naftali Tishby: Unsupervised document classification using sequential information maximization. In: Proceedings of the 25th International ACM SIGIR Conference on Research and Development in Information Retrieval, 129-136, 2002.
License:GPL 3.0
Maintainer:Weka team <wekalist{[at]}list.scms.waikato.ac.nz>
PackageURL:http://prdownloads.sourceforge.net/weka/sequentialInformationalBottleneckClusterer1.0.1.zip?download
URL:http://weka.sourceforge.net/doc.packages/sequentialInformationalBottleneckClusterer
Version:1.0.1