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Clustering research benchmarks – Page 27 · SOTA2 Research

Clustering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

2.99ARI

10

Feb 26, 2026

0.622AMI

10

Feb 26, 2026

68.79AMI

10

Feb 26, 2026

92ARI

10

Apr 23, 2026

99.5ACC

10

Feb 26, 2026

77.9Accuracy

10

Feb 26, 2026

61.37ACC

10

Feb 26, 2026

56.72ACC

10

Feb 26, 2026

72.32Accuracy (ACC)

10

Feb 26, 2026

Pavia University

0.639Accuracy (ACC)

10

Feb 26, 2026

0.887ACC

10

Feb 26, 2026

Heart Disease dataset (test)

67.88Calinski Harabasz Score

10

Feb 26, 2026

MTEB English Clustering

45.8Average Score

10

Feb 26, 2026

45F1 Score

10

Feb 26, 2026

72F1 Score

10

Feb 26, 2026

75F1 Score

10

Feb 26, 2026

87F1 Score

10

Feb 26, 2026

NUSWIDE M/S = 1:2

50.8Accuracy

10

Feb 26, 2026

NUSWIDE M/S = 1:1

52.7ACC

10

Feb 26, 2026

NUSWIDE M/S = 2:1

56.1Accuracy

10

Feb 26, 2026

Multi-Fashion M/S = 1:2

87.5Accuracy

10

Feb 26, 2026

Multi-Fashion M/S = 1:1

90.4Accuracy

10

Feb 26, 2026

Multi-Fashion M/S = 2:1

92.4Accuracy

10

Feb 26, 2026

90Accuracy

10

Feb 26, 2026

BDGP (M/S = 1:1)

91.9Accuracy

10

Feb 26, 2026

Page 27 of 67

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