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sequentialInformationalBottleneckClusterer from group nz.ac.waikato.cms.weka (version 1.0.2)
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.
Group: nz.ac.waikato.cms.weka Artifact: sequentialInformationalBottleneckClusterer
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Artifact sequentialInformationalBottleneckClusterer
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Tags: assign using development trade minimum have 2002 data retrieval beta zero algorithm slonim document sequential distance more scheme maximization unsupervised supported only conference instance hard note clustering noam information friedman international cost research infinite that sigir bottleneck naftali classification proceedings cluster tishby each 25th
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Tags: assign using development trade minimum have 2002 data retrieval beta zero algorithm slonim document sequential distance more scheme maximization unsupervised supported only conference instance hard note clustering noam information friedman international cost research infinite that sigir bottleneck naftali classification proceedings cluster tishby each 25th
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
sequentialInformationalBottleneckClusterer from group nz.ac.waikato.cms.weka (version 1.0.1)
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.
Group: nz.ac.waikato.cms.weka Artifact: sequentialInformationalBottleneckClusterer
Show documentation Show source
Show documentation Show source
0 downloads
Artifact sequentialInformationalBottleneckClusterer
Group nz.ac.waikato.cms.weka
Version 1.0.1
Last update 24. April 2012
Tags: assign using development trade minimum have 2002 data retrieval beta zero algorithm slonim document sequential distance more scheme maximization unsupervised supported only conference instance hard note clustering noam information friedman international cost research infinite that sigir bottleneck naftali classification proceedings cluster tishby each 25th
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.1
Last update 24. April 2012
Tags: assign using development trade minimum have 2002 data retrieval beta zero algorithm slonim document sequential distance more scheme maximization unsupervised supported only conference instance hard note clustering noam information friedman international cost research infinite that sigir bottleneck naftali classification proceedings cluster tishby each 25th
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/sequentialInformationalBottleneckClusterer
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!
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