Clustering scores of different algorithms applied to the ion channel proteins.

Figshare2015-12-02 更新2026-05-11 收录

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https://figshare.com/articles/dataset/_Clustering_scores_of_different_algorithms_applied_to_the_ion_channel_proteins_/601683 数据链接链接失效反馈

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Scores are measured according to the appropriate granularity level (for 3, 11 and 19 classes).

创建时间：

2015-12-02

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

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.

NIAID Data Ecosystem60

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

The Royal Society Figshare2020-10-15 更新40

For research tasks 1 and 2: Mean, median, and standard deviation (over 50 samplings of discovery/validation data) of the difference (both unscaled and scaled) between the value of the evaluation criterion on the validation data and the corresponding value on the discovery data.

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.

Figshare2020-06-01 更新50

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

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.

Figshare2024-06-27 更新40