Download JAR files tagged by bottleneck with all dependencies

bottleneck from group org.webjars.npm (version 2.19.5)

WebJar for bottleneck

Group: org.webjars.npm Artifact: bottleneck
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Artifact bottleneck
Group org.webjars.npm
Version 2.19.5
Last update 19. July 2021
Organization not specified
URL https://www.webjars.org
License MIT
Dependencies amount 0
Dependencies No dependencies
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github-com-SGrondin-bottleneck from group org.webjars.npm (version 2.6.0)

WebJar for bottleneck

Group: org.webjars.npm Artifact: github-com-SGrondin-bottleneck
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Artifact github-com-SGrondin-bottleneck
Group org.webjars.npm
Version 2.6.0
Last update 09. July 2018
Organization not specified
URL http://webjars.org
License MIT
Dependencies amount 0
Dependencies No dependencies
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trace-analysis_2.13 from group com.joom.tracing (version 0.1.1)

A library for performance bottleneck detection and optimization efficiency prediction.

Group: com.joom.tracing Artifact: trace-analysis_2.13
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Artifact trace-analysis_2.13
Group com.joom.tracing
Version 0.1.1
Last update 27. July 2022
Organization Joom
URL https://github.com/joomcode/trace-analysis
License MIT License
Dependencies amount 0
Dependencies No dependencies
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trace-analysis_2.12 from group com.joom.tracing (version 0.1.1)

A library for performance bottleneck detection and optimization efficiency prediction.

Group: com.joom.tracing Artifact: trace-analysis_2.12
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Artifact trace-analysis_2.12
Group com.joom.tracing
Version 0.1.1
Last update 27. July 2022
Organization Joom
URL https://github.com/joomcode/trace-analysis
License MIT License
Dependencies amount 0
Dependencies No dependencies
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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
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,
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