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The execution time of methods under consideration at synthetic networks with categorical features at the nodes.

Figshare2021-07-15 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/The_execution_time_of_methods_under_consideration_at_synthetic_networks_with_categorical_features_at_the_nodes_/14991486 数据链接链接失效反馈

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资源简介：

The average of 10 different data sets of the same setting is reported in seconds.

应用场景：

创建时间：

2021-07-15

计算机视觉

算法评估

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2d synthetic dataset from Clustering: how much bias do we need?.

算法评估

偏差分析

Scientific investigations in medicine and beyond, increasingly require observations to be described by more features than can be simultaneously visualized. Simply reducing the dimensionality by projec

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算法评估

聚类结果验证

Additionally, the effect size (mean divided by standard deviation) is reported. ARIdiscov denotes the best ARI on the discovery data and ARIvalid the ARI resulting from the corresponding method combin

NIAID Data Ecosystem40

Comparisons of the annotation accuracy rates for each category of the PASCAL VOC 2012 dataset based on different algorithms after 100 training iterations.

计算机视觉基准

算法评估

Comparisons of the annotation accuracy rates for each category of the PASCAL VOC 2012 dataset based on different algorithms after 100 training iterations.

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青少年性健康预测

算法评估

Evaluation results from eight algorithms predicting the proportions of students in grades 9–12 reporting any same-sex sexual contacts in 2017.

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