How to obtain precision, recall and F-measure for clustering?
2 次查看(过去 30 天)
显示 更早的评论
Precision and recall for a classification problem are obtained by the confusion matrix easily since the number of classes is provided in the problem. For a clustering problem, we do not have the number of classes, so some extra clusters may be presented in the solution.
Could anybody provide me with a Matlab code for the evaluation of results by precision, recall and F-measure in this case?
Thank you.
1 个评论
Kartik Mittal
2018-8-2
Precision and recall are good performance measures for a supervised learning algorithm (where you have some ground truth). Since you are using some clustering algorithm, I am assuming you might not have any ground truth to validate your results. Correct me if I am wrong.
回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!