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Clustering on UMist

80.9AccuracyOURS-SF
34.72446.71258.770.688Oct 23, 2015Nov 20, 2015Dec 19, 2015Jan 17, 2016Feb 15, 2016Mar 15, 2016Apr 13, 2016

Evaluation results

MethodLinks
OURS-SFInput=image intensities2016.0480.9——
OURS-RCInput=image intensities2016.0480.9——
NTLRR2015.1058.09——
AC-PICInput=image intensities2016.0457.6——
SC-LSInput=image intensities2016.0456.8——
AC-GDLInput=image intensities2016.0456.3——
TLRR2015.1056——
SC-NJWInput=image intensities2016.0455.1——
N-CutsInput=image intensities2016.0455——
LRR2015.1054.26——
LatLRR2015.1054.09——
AC-ZellInput=image intensities2016.0451.7——
K-meansInput=image intensities2016.0441.9——
SC-STInput=image intensities2016.0441.1——
AC-LinkInput=image intensities2016.0439.8——
NMF-LPInput=image intensities2016.0436.5——
AC-GDLInput=Image intensities2016.04—75.5—
AC-LinkInput=Image intensities2016.04—64.3—
AC-PICInput=Image intensities2016.04—75—
AC-ZellInput=Image intensities2016.04—75.5—
ANLS2025.11——63
CC-NMFlearning rate=0.25, tolerance=10^-82025.11——68
JULE-RCInput=Image intensities2016.04—87.7—
JULE-SFInput=Image intensities2016.04—88—
K-meansInput=Image intensities2016.04—60.9—
MU2025.11——64
N-CutsInput=Image intensities2016.04—78.2—
NMF-DInput=Image intensities2016.04—50—
NMF-LPInput=Image intensities2016.04—56—
ONMF2025.11——66
PNMF2025.11——64
SC-LSInput=Image intensities2016.04—81—
SC-NJWInput=Image intensities2016.04—72.7—
SC-STInput=Image intensities2016.04—61.1—
Sparse NMF2025.11——63