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nz.ac.waikato.cms.weka : sequentialInformationalBottleneckClusterer

Maven & Gradle

Apr 26, 2012

sequentialInformationalBottleneckClusterer · 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.

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Latest Version

Download nz.ac.waikato.cms.weka : sequentialInformationalBottleneckClusterer Javadoc & API Documentation - Latest Versions:

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Download nz.ac.waikato.cms.weka : sequentialInformationalBottleneckClusterer Javadoc & API Documentation - All Versions:

Version Size Javadoc Updated
1.0.x

How to open Javadoc JAR file in web browser

  1. Rename the file sequentialInformationalBottleneckClusterer-1.0.2-javadoc.jar to sequentialInformationalBottleneckClusterer-1.0.2-javadoc.zip
  2. Use your favourite unzip tool (WinRAR / WinZIP) to extract it, now you have a folder sequentialInformationalBottleneckClusterer-1.0.2-javadoc
  3. Double click index.html will open the index page on your default web browser.

How to generate Javadoc from a source JAR?

Running the command javadoc:

javadoc --ignore-source-errors -encoding UTF-8 -sourcepath "sequentialInformationalBottleneckClusterer-1.0.2-sources.jar" -d "sequentialInformationalBottleneckClusterer-1.0.2-javadoc" -subpackages 

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