.normalized mutual information计算公式normalized mutual information 归一化互信息(Normalized Mutual Information,NMI)是一种用于度量两个数据集聚类结果之间的相似性的指标。它是基于互信息(Mutual Information,MI)的度量,但通过对聚类结果的规模进行归一化,以便于不同规模的聚类结果之间的比较。 NMI的计算公式如下所示:...
Normalized Mutual Information归一化互信息 其中I(A,B)是A,B两向量的mutual information, H(A)是A向量的信息熵。 I(A,B)=H(A)-H(A|B)=H(B)-H(B|A),这也好理解,直觉上,如果已知B的情况,A的条件熵H(B|A)相对于H(A)变小了,即不确定程度变小,那么B能提供对A有用的信息,越有用,越相近。互...
H(X)和H(Y)分别为X和Y的熵,下面的公式中log的底b=2。 例如H(X) = -p(1)*log2(p(1)) - -p(2)*log2(p(2)) -p(3)*log2(p(3))。 matlab实现代码如下 functionMIhat = nmi( A, B ) %NMI Normalized mutual information % http://en./wiki/Mutual_information % http://nlp./IR-bo...
H(X)和H(Y)分别为X和Y的熵,下面的公式中log的底b=2。 例如H(X) = -p(1)*log2(p(1)) - -p(2)*log2(p(2)) -p(3)*log2(p(3))。 matlab实现代码如下 functionMIhat = nmi( A, B ) %NMI Normalized mutual information % http://en.wikipedia.org/wiki/Mutual_information % http://...
normalized pointwise mutual informationnormalized pointwise mutual information Normalized pointwise mutual information(NPMI)是自然语言处理(NLP)分析中经常使用的技术。它用于测量一个词和某个语料(即一组文档)中的另一个词的相关性。NPMI不仅可以用于语料库,还用于计算语料库在不同时间或主题下的词汇相关性。 1. ...
importnumpyasnpfromsklearn.metricsimportnormalized_mutual_info_score# 假设我们有两个聚类结果true_labels=np.array([1,1,0,0,1,0])predicted_labels=np.array([1,0,0,0,1,1])# 计算归一化互信息nmi=normalized_mutual_info_score(true_labels,predicted_labels)print(f"归一化互信息 (NMI):{nmi}")...
now i want to calculate normalized mutual information: but it acting kind of wierd In [13]: normalized_mutual_info_score(real.astype(int),test.astype(int),average_method='arithmetic') Out[13]: 6.422893887289432e-16 In [14]: normalized_mutual_info_score(real.astype(int),test.astype(int),...
The Normalized Mutual Information (NMI) metric is widely utilized in the evaluation of clustering and community detection algorithms. This study explores the performance of NMI, specifically examining its performance in relation to the quantity of commun
mutual information_翻译 ... 互信息梯度: Mutual Information Gradient归一化互信息:normalized mutual information... www.lw23.com|基于4个网页 2. 标准化互讯息 ...指标(adjusted Rand index)、和标准化互讯息(normalized mutual information)作为分群结果的比较标准。