Performance evaluation of the consensus clustering methods (EAC and Voting-based) compared against five individual clustering approaches in terms of mean RI, Precision, Recall, F1-score and JI along with standard deviations (±) across the forty-five tested images.
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数据链接：
https://figshare.com/articles/dataset/Performance_evaluation_of_the_consensus_clustering_methods_EAC_and_Voting-based_compared_against_five_individual_clustering_approaches_in_terms_of_mean_RI_Precision_Recall_F1-score_and_JI_along_with_standard_deviations_across_the_forty-five_tested_images_/5651134数据链接链接失效反馈
官方服务：
资源简介：
In all algorithms initial segmentations are performed via our vcells-MM method. Best RI, F1-score and JI results are marked in bold font.
创建时间：
2017-12-01
