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Papers Benchmarks Datasets Tasks

Clustering research benchmarks – Page 57 · SOTA2 Research

Clustering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

97ARI

4

Feb 26, 2026

1ARI

4

Feb 26, 2026

ThoughtViz (test)

76.8K Means Accuracy

4

Feb 26, 2026

Fashion MNIST (train+val)

100Utilized Clusters

4

Feb 26, 2026

ImageNet (test)

72.4Accuracy

4

Feb 26, 2026

Birdsnap (test)

67.8Accuracy

4

Feb 26, 2026

92.8Accuracy

4

Feb 26, 2026

Synthetic Data 10 Points, 2 Clusters, 2 Dim

74.3Accuracy

4

Feb 26, 2026

Synthetic Data 15 Points, 3 Clusters, 2 Dim

56.4Accuracy

4

Feb 26, 2026

IRIS 3 clusters 15 points

47.2Accuracy

4

Feb 26, 2026

52.5AMI

4

Feb 26, 2026

92.01NMI

4

Feb 26, 2026

71.64ACC

4

Feb 26, 2026

NUS-WIDE Animal (test)

28.92Accuracy

4

Feb 26, 2026

CINIC-10 (test)

43.06Accuracy

4

Feb 26, 2026

89.57NMI

4

Feb 26, 2026

99.91NMI (%)

4

Feb 26, 2026

93.99Clustering Accuracy (CA)

4

Feb 26, 2026

99.99CA (%)

4

Feb 26, 2026

GMM K=7 (Mode B)

0.86F1 Score

4

Feb 26, 2026

GMM K=5 (Mode B)

0.93F1 Score

4

Feb 26, 2026

GMM (K=2) (Mode B)

99F1 Score

4

Feb 26, 2026

78F1 Score

4

Feb 26, 2026

0.9F1 Score

4

Feb 26, 2026

0.99F1

4

Feb 26, 2026

Page 57 of 67

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