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→Relations to other entropy measures 与其他熵测度的关系
It is also used in the definition of [[mutual information]]<ref name=cover1991 />{{rp|21}}
It is also used in the definition of [[mutual information]]<ref name=cover1991 />{{rp|21}}
它也被用于定义'''<font color="#ff8000"> 交互信息Mutual information</font>'''：
In [[quantum information theory]], the joint entropy is generalized into the [[joint quantum entropy]].
In [[quantum information theory]], the joint entropy is generalized into the [[joint quantum entropy]].
在'''<font color="#ff8000"> 量子信息论Quantum information theory</font>'''中，联合熵被广义化为'''<font color="#ff8000"> 联合量子熵Joint quantum entropy</font>'''。
在'''<font color="#ff8000"> 量子信息论Quantum information theory</font>'''中，使用的是广义化的联合熵，即'''<font color="#ff8000"> 联合量子熵Joint quantum entropy</font>'''。
A python package for computing all multivariate joint entropies, mutual informations, conditional mutual information, total correlations, information distance in a dataset of n variables is available.<ref>{{cite web|url=https://infotopo.readthedocs.io/en/latest/index.html|title=InfoTopo: Topological Information Data Analysis. Deep statistical unsupervised and supervised learning - File Exchange - Github|author=|date=|website=github.com/pierrebaudot/infotopopy/|accessdate=26 September 2020}}</ref>
A python package for computing all multivariate joint entropies, mutual informations, conditional mutual information, total correlations, information distance in a dataset of n variables is available.<ref>{{cite web|url=https://infotopo.readthedocs.io/en/latest/index.html|title=InfoTopo: Topological Information Data Analysis. Deep statistical unsupervised and supervised learning - File Exchange - Github|author=|date=|website=github.com/pierrebaudot/infotopopy/|accessdate=26 September 2020}}</ref>
在这里我们提供了一个python软件包，可用于计算n个变量的数据集中的所有多元联合熵、交互信息、条件交互信息、总相关性以及信息距离。
== Joint differential entropy 联合微分熵 ==
== Joint differential entropy 联合微分熵 ==