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第1,058行： − 互信息用于确定数据集中两个不同聚类的相似性。因此，它与传统的'''<font color="#ff8000">兰德指数 Rand index</font>'''相比具有一定的优势。+
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Mutual information is used in determining the similarity of two different clusterings of a dataset. As such, it provides some advantages over the traditional Rand index.
Mutual information is used in determining the similarity of two different clusterings of a dataset. As such, it provides some advantages over the traditional Rand index.
互信息用于确定数据集中两个不同聚类的相似性。因此，它与传统的Rand指数相比具有一定的优势。
* Mutual information of words is often used as a significance function for the computation of [[collocation]]s in [[corpus linguistics]]. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within <math>N</math> words of another, goes up with <math>N</math>.
* Mutual information of words is often used as a significance function for the computation of [[collocation]]s in [[corpus linguistics]]. This has the added complexity that no word-instance is an instance to two different words; rather, one counts instances where 2 words occur adjacent or in close proximity; this slightly complicates the calculation, since the expected probability of one word occurring within <math>N</math> words of another, goes up with <math>N</math>.