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Clustering research benchmarks – Page 23 · SOTA2 Research

Clustering

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

79.2Accuracy

11

Jun 18, 2026

Mouse Pancreas cells 2

95.11Accuracy (ACC)

11

Jun 18, 2026

Human Pancreas cells 3

95.31Accuracy (ACC)

11

Jun 18, 2026

Human Pancreas cells 2

91.13Accuracy (ACC)

11

Jun 18, 2026

Human Pancreas cells 1

97.21Accuracy

11

Jun 18, 2026

Muraro Human Pancreas cells

96.02Accuracy

11

Jun 18, 2026

Proposed Clustering Method

2.689Tk

11

Mar 12, 2026

3.278Tk Index

11

Mar 12, 2026

Proposed clustering method

2.598Tk Index

11

Mar 12, 2026

72.32Clustering Accuracy

11

Mar 5, 2026

78.32CA

11

Mar 5, 2026

64.5CA

11

Mar 5, 2026

87.63Cluster Accuracy (CA)

11

Mar 5, 2026

0.022ARI

11

Mar 5, 2026

0.073ARI

11

Mar 5, 2026

56.55ARI

11

Mar 5, 2026

0.593ARI

11

Feb 26, 2026

58.4ARI

11

Feb 26, 2026

88.2ARI

11

Feb 26, 2026

Generated dataset

122.833Calinski Harabasz Index

11

Feb 26, 2026

Generated synthetic dataset with 10 clusters (test)

127.624Calinski Harabasz

11

Feb 26, 2026

Generated dataset 1000 individuals, 10 dimensions of each type, 0.15 deviation

202.114Calinski Harabasz Index

11

Feb 26, 2026

Generated dataset 10 clusters

127.624Calinski Harabasz Score

11

Feb 26, 2026

Generated Dataset sparse clusters, 10 dimensions each type, 0.15 deviation 1.0 (test)

202.114Calinski Harabasz Score

11

Feb 26, 2026

Generated dataset (15 quantitative features and 15 categorical features) 1.0

122.833Calinski Harabasz Score

11

Feb 26, 2026

Page 23 of 67

Popular datasets

MNIST Synthetic Data CIFAR ImageNet Iris

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