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Clustering on PenDigits

79ARIDPA
-3.1618.1739.560.83Oct 17, 2023Mar 22, 2024Aug 27, 2024Feb 1, 2025Jul 9, 2025Dec 14, 2025May 21, 2026

Evaluation results

MethodLinks
DPADistance metric=cosine2026.0579———85—
SPORE_ANND' (Dimensionality after PCA)=162025.1077——0.36——
SPOREANNN=10992, D=16, D'=162025.1077—85———
SPORE_ENND' (Dimensionality after PCA)=162025.1076——0.67——
SpectralD' (Dimensionality after PCA)=162025.1076——3.78——
SPOREENNN=10992, D=16, D'=162025.1076—83———
SpectralN=10992, D=16, D'=162025.1076—84———
CluPropkNN type=exact kNN, Clustering algorithm=Leiden, Distance metric=cosine2026.0576———86—
DBHDDistance metric=cosine2026.0573———81—
HypeGBMS2025.1266.7—77.6———
HDBSCANN=10992, D=16, D'=162025.1066—79———
DPCDistance metric=cosine2026.0564———77—
GMM2025.1263.9—75.4———
log(k) EIGSDimensions=log(k)2023.1063—771.01——
PM log(k)Dimensions=log(k), Algorithm=Algorithm 22023.1061—770.36——
PM kDimensions=k2023.1060—760.49——
SC-kNNAffinity=kNN2026.0558.39—78.23———
MDL-GBTRSC2026.0558.05—79.23———
k EIGSDimensions=k2023.1058—780.64——
Spectral2025.1258—71.7———
GBMS2025.1257.7—71.4———
MDL-GBG+KM++2026.0557.6171.8470.01———
KMeansN=10992, D=16, D'=162025.1057—68———
KM++2026.0556.0970.6368.27———
GMMN=10992, D=16, D'=162025.1055—70———
GMM-SC2026.0554.86—68.78———
k-means2025.1253.8—67.3———
HSFC2025.1252.3—70.6———
hDbscanDistance metric=cosine2026.0550———71—
SCDistance metric=cosine2026.0550———66—
GMS2025.1249.9—68.1———
SC-RBFAffinity=RBF2026.0549.08—67.41———
DbscanDistance metric=cosine2026.0548———68—
OpticsDistance metric=cosine2026.0548———68—
MDL-GBG+AC2026.0544.8659.167.88———
GBSC2026.0542.48—59.67———
GBSC2026.0542.4757.4159.7———
KASP2023.1042—600.22——
AC2026.0541.3955.4865.17———
MDMSC2026.0541.0757.5970.01———
MDMSC2026.0541.07—70.01———
SpecAClDistance metric=cosine2026.0533———63—
QuickMeanShift2025.1225.7—39.3———
Gridshift2025.1225.3—40.2———
DBSCAN2025.1215.8—31.2———
WBMS2025.1212.1—33.6———
GBCT2026.050.1413.987.75———
GBCT2026.050.14—7.75———
WGBC2026.05010.410———
1-SPECK=10, Graph=KNN2012.06—————80
DCDK=10, Graph=KNN2012.06—————89
EACruns=20, base clustering=k-means2019.03—81.04————
ECCruns=20, base clustering=k-means2019.03—62.36————
ESCG2019.03—77.21————
ESCGNumber of runs=202019.03——76.41———
EulerSC2019.03—65.85————
EulerSCNumber of runs=202019.03——58.59———
FastESC2019.03—69.97————
FastESCNumber of runs=202019.03——65.31———
ICMK=10, Graph=KNN2012.06—————52
k-means2019.03—71.57————
k-meansNumber of runs=202019.03——66.66———
KCCruns=20, base clustering=k-means2019.03—63.33————
LSC-K2019.03—83.07————
LSC-KNumber of runs=202019.03——79.73———
LSC-R2019.03—81.82————
LSC-RNumber of runs=202019.03——78.13———
LSDK=10, Graph=KNN2012.06—————86
LWGPruns=20, base clustering=k-means2019.03—81.96————
NCUTK=10, Graph=KNN2012.06—————80
NSCK=10, Graph=KNN2012.06—————80
Nystrom2019.03—71.13————
NyströmNumber of runs=202019.03——65.67———
ONMFK=10, Graph=KNN2012.06—————10
PLSIK=10, Graph=KNN2012.06—————80
PNMFK=10, Graph=KNN2012.06—————78
PTGPruns=20, base clustering=k-means2019.03—78.33————
SC2019.03—56.44————
SCNumber of runs=202019.03——59.36———
SECruns=20, base clustering=k-means2019.03—51.6————
U-SENC2019.03—88.56————
U-SENCruns=20, p=1000, K=52019.03—88.56————
U-SENCNumber of runs=202019.03——85.34———
U-SPEC2019.03—84.17————
U-SPECruns=20, p=1000, K=52019.03—84.17————
U-SPECNumber of runs=202019.03——80.3———
WCTruns=20, base clustering=k-means2019.03—82.97————