Pizzuti, "Correction for closeness: adjusting normalized mutual information measure for clustering com- parison," Computational Intelligence, vol. 33, no. 3, pp. 579- 601, 2017.Amelio, A. & Pizzuti, C. (2016), `
Normalized mutual information is often used for evaluating clustering results, information retrieval, feature selection etc. This is a optimized implementation of the function which has no for loops. This function is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/file...
%NMI Normalized mutual information % http://en.wikipedia.org/wiki/Mutual_information % http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html % Author: http://www.cnblogs.com/ziqiao/ [2011/12/13] iflength( A ) ~= length( B) error('length( A ) must == le...
参考: stanford的讲解:http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html wiki百科的讲解:http://en.wikipedia.org/wiki/Mutual_information 某作者的python的实现:http://blog.sun.tc/2010/10/mutual-informationmi-and-normalized-mutual-informationnmi-for-numpy.html 蔡登的mat...
%NMI Normalized mutual information % http://en.wikipedia.org/wiki/Mutual_information % http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html % Author: http://www.cnblogs.com/ziqiao/ [2011/12/15] iflength( A ) ~= length( B) ...
%NMI Normalized mutual information % http://en.wikipedia.org/wiki/Mutual_information % http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html % Author: http://www.cnblogs.com/ziqiao/ [2011/12/13] if length( A ) ~= length( B) ...
An implementation of a Normalized Mutual Information (NMI) measure for sets of overlapping clusters and Omega Index. ATTENTION: OvpNMI (onmi) does not suitable to evaluate multi-resolution or highly overlapping clusterings because of the used "best match" approximation (see formula 3 in the paper...
finalclusteringresults.Theexperimentalresultsshowthatcomparedtothetraditionalclusteringensemble algorithm,theproposedalgorithmimprovestheclusteringqualityandhasgoodextensibility. KeyWordsSelectiveClusteringEnsemble,FractalDimension,NormalizedMutualInformation, SelectionStrategy,Co associationmatrix ...
pythonnormalizedmutual information # 深入理解Python中的归一化互信息 在数据科学和机器学习的领域,评估和比较不同分组或聚类的质量至关重要。其中,互信息(Mutual Information, MI)是一种衡量两个变量之间依赖关系的指标。为了更好地比较不同大小的数据集,通常使用归一化互信息(NormalizedMutual Information, NMI)。本文...
Amelio, A.; Pizzuti, C., Correction for closeness: Adjusting normalized mutual information measure for clustering comparison. Computational Intelligence-US 2017, 33 (3), 579-601.A. Amelio and C. Pizzuti, "Correction for closeness: adjusting normalized mutual information measure for clustering com- ...