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ResearchFormerly WizWand

Clustering on semeion

58ARICluProp
-1.2814.1129.544.89Apr 20, 2026Apr 23, 2026Apr 26, 2026Apr 29, 2026May 2, 2026May 5, 2026May 9, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CluPropkNN type=exact kNN, Clustering algorithm=Leiden, Distance metric=cosine2026.0558——71
DBHDDistance metric=cosine2026.0557——66
PHIDAEnvironment=Nonstationary, Runs=30 independent2026.0536.1——52.8
SCDistance metric=cosine2026.0535——50
IDATEnvironment=Nonstationary, Runs=30 independent2026.0529.9——46.3
SOINN+Environment=Nonstationary, Runs=30 independent2026.0529.5——49.5
DPCDistance metric=cosine2026.0529——48
DPADistance metric=cosine2026.0526——46
CAEAEnvironment=Nonstationary, Runs=30 independent2026.0522.4——50.5
SpecAClDistance metric=cosine2026.0520——47
GTSA-PCADimensionality Reduction Method=GTSA-PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.0416.6725.7933.21—
GNGEnvironment=Nonstationary, Runs=30 independent2026.0513.1——33.4
CAEEnvironment=Nonstationary, Runs=30 independent2026.058.5——16.7
Kernel PCA (RBF)Dimensionality Reduction Method=Kernel PCA (RBF), Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.044.8825.5520.94—
DDVFAEnvironment=Nonstationary, Runs=30 independent2026.052.9——14.8
Regular PCADimensionality Reduction Method=Regular PCA, Projection Dimension=2D, Clustering Algorithm=Agglomerative Clustering, Linkage=Ward2026.042.0319.129.01—
DbscanDistance metric=cosine2026.051——38
OpticsDistance metric=cosine2026.051——38
hDbscanDistance metric=cosine2026.051——41