Clustering on CMU-PIE benchmark leaderboard · SOTA2 Research

Clustering on CMU-PIE

100NMIJULE-RC

Evaluation Results

Method	Links
JULE-RC2016.04		100	—
JULE-RC2017.04		100	100
JULE-SF2016.04		98.4	—
JULE-SF2017.04		98.4	98
NMF-D2016.04		98.3	—
DEPICT2017.04		97.4	88.3
MI-ADM2018.10		96.5	85.8
DEPICT2018.10		96.4	85
SR-K-means2018.10		94.5	80.2
AC-GDL2016.04		93.4	—
AC-GDL2017.04		93.4	84.2
DEC2017.04		92.4	80.1
DEC (KL based)2018.10		92.4	80.1
NMF-D2017.04		92	81
AC-Zell2016.04		91	—
NMF-D2016.04		91	—
AC-PIC2016.04		90.2	—
AC-PIC2017.04		90.2	79.7
SC-LS2016.04		78.8	—
SC-LS2017.04		78.8	54.9
SC-ST2016.04		58.1	—
SC-ST2017.04		58.1	29.3
K-means2016.04		54.9	—
AC-Link2016.04		54.5	—
SC-NJW2016.04		54.3	—
NMF-LP2016.04		49.1	—
K-means2017.04		43.2	22.3
N-Cuts2016.04		41.1	—
N-Cuts2017.04		41.1	15.5
AC-GDL2016.04		—	84.2
AC-Link2016.04		—	20.1
AC-PIC2016.04		—	79.7
AC-Zell2016.04		—	76.5
K-means2016.04		—	24.6
N-Cuts2016.04		—	15.5
NMF-LP2016.04		—	22.9
OURS-RC2016.04		—	100
OURS-SF2016.04		—	98
SC-LS2016.04		—	54.9
SC-NJW2016.04		—	25.5
SC-ST2016.04		—	29.3