How to Install and Uninstall libhac-java-doc Package on Kali Linux
Last updated: November 22,2024
1. Install "libhac-java-doc" package
This is a short guide on how to install libhac-java-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
libhac-java-doc
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2. Uninstall "libhac-java-doc" package
Here is a brief guide to show you how to uninstall libhac-java-doc on Kali Linux:
$
sudo apt remove
libhac-java-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libhac-java-doc package on Kali Linux
Package: libhac-java-doc
Source: libhac-java
Version: 0.20110510+git20110510.8b2a326-1
Installed-Size: 1673
Maintainer: Debian Med Packaging Team
Architecture: all
Suggests: libhac-java
Size: 249436
SHA256: 6648cb0944c2ef8b191268ffcef97891989f728454026341580b77426f9422c9
SHA1: 4b19bb3860d1db8b6e5eb705c4dac1b428448e55
MD5sum: f002d1755ea504b9338e0a82bdf47d28
Description: API documentation for hierarchical agglomerative clustering
Hac is a simple library for hierarchical agglomerative clustering. The goal of
Hac is to be easy to use in any context that might require a hierarchical
agglomerative clustering approach. You can use Hac by bundling Hac with your
application, and by implementing two interfaces:
* Experiment (to tell Hac what to cluster), and
* DissimilarityMeasure (to tell Hac how to compute the dissimilarity between
two observations).
.
This package contains the API documentation of libhac-java.
Description-md5:
Multi-Arch: foreign
Homepage: http://sape.inf.usi.ch/hac
Section: doc
Priority: optional
Filename: pool/main/libh/libhac-java/libhac-java-doc_0.20110510+git20110510.8b2a326-1_all.deb
Source: libhac-java
Version: 0.20110510+git20110510.8b2a326-1
Installed-Size: 1673
Maintainer: Debian Med Packaging Team
Architecture: all
Suggests: libhac-java
Size: 249436
SHA256: 6648cb0944c2ef8b191268ffcef97891989f728454026341580b77426f9422c9
SHA1: 4b19bb3860d1db8b6e5eb705c4dac1b428448e55
MD5sum: f002d1755ea504b9338e0a82bdf47d28
Description: API documentation for hierarchical agglomerative clustering
Hac is a simple library for hierarchical agglomerative clustering. The goal of
Hac is to be easy to use in any context that might require a hierarchical
agglomerative clustering approach. You can use Hac by bundling Hac with your
application, and by implementing two interfaces:
* Experiment (to tell Hac what to cluster), and
* DissimilarityMeasure (to tell Hac how to compute the dissimilarity between
two observations).
.
This package contains the API documentation of libhac-java.
Description-md5:
Multi-Arch: foreign
Homepage: http://sape.inf.usi.ch/hac
Section: doc
Priority: optional
Filename: pool/main/libh/libhac-java/libhac-java-doc_0.20110510+git20110510.8b2a326-1_all.deb