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TESI DOCTORAL - La Salle

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E.3. Corel data set<br />

φ (NMI)<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

text<br />

λ rb−cos−i2<br />

c<br />

E<br />

CSPA<br />

EAC<br />

HGPA<br />

MCLA<br />

ALSAD<br />

KMSAD<br />

SLSAD<br />

(a) Modality 1<br />

φ (NMI)<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

image<br />

λ rb−cos−i2<br />

c<br />

E<br />

CSPA<br />

EAC<br />

HGPA<br />

MCLA<br />

ALSAD<br />

KMSAD<br />

SLSAD<br />

(b) Modality 2<br />

φ (NMI)<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

text+image<br />

λ rb−cos−i2<br />

c<br />

E<br />

CSPA<br />

EAC<br />

HGPA<br />

MCLA<br />

ALSAD<br />

KMSAD<br />

SLSAD<br />

(c) Multimodal<br />

φ (NMI)<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

λ c rb−cos−i2<br />

E<br />

CSPA<br />

EAC<br />

HGPA<br />

MCLA<br />

ALSAD<br />

KMSAD<br />

SLSAD<br />

(d) Intermodal<br />

Figure E.20: φ (NMI) boxplots of the unimodal, multimodal and intermodal consensus clustering<br />

solutions using the rb-cos-i2 algorithm on the Corel data set.<br />

λ final<br />

c , which is again highlighted by means of a vertical green dashed line.<br />

The performance of the self-refining procedure is equally satisfying when conducted on<br />

the cluster ensembles created by means of the three remaining clustering algorithms, as<br />

figures E.22, E.23 and E.24 depict. However, the selection accuracy of the supraconsensus<br />

function is somewhat inconsistent, as already observed on the previous data sets.<br />

φ (NMI)<br />

CSPA agglo−cos−upgma<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

E λc<br />

λ 2 c<br />

λ 5 c<br />

λ 10<br />

c<br />

λ 15<br />

c<br />

λ 20<br />

c<br />

(a) CSPA<br />

φ (NMI)<br />

λ 30<br />

c<br />

λ 40<br />

c<br />

λ 50<br />

c<br />

λ 75<br />

c<br />

φ (NMI)<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

EAC agglo−cos−upgma<br />

E λc<br />

λ 2 c<br />

λ 5 c<br />

ALSAD agglo−cos−upgma<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

E λc<br />

λ 2 c<br />

λ 5 c<br />

λ 10<br />

c<br />

λ 15<br />

c<br />

λ 20<br />

c<br />

λ 30<br />

c<br />

(e) ALSAD<br />

λ 40<br />

c<br />

λ 10<br />

c<br />

λ 15<br />

c<br />

λ 20<br />

c<br />

(b) EAC<br />

λ 50<br />

c<br />

λ 75<br />

c<br />

φ (NMI)<br />

λ 30<br />

c<br />

λ 40<br />

c<br />

λ 50<br />

c<br />

λ 75<br />

c<br />

φ (NMI)<br />

HGPA agglo−cos−upgma<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

E λc<br />

λ 2 c<br />

λ 5 c<br />

KMSAD agglo−cos−upgma<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

E λc<br />

λ 2 c<br />

λ 5 c<br />

λ 10<br />

c<br />

λ 15<br />

c<br />

λ 20<br />

c<br />

λ 30<br />

c<br />

(f) KMSAD<br />

λ 40<br />

c<br />

λ 10<br />

c<br />

λ 15<br />

c<br />

λ 20<br />

c<br />

(c) HGPA<br />

λ 50<br />

c<br />

λ 75<br />

c<br />

φ (NMI)<br />

λ 30<br />

c<br />

λ 40<br />

c<br />

λ 50<br />

c<br />

λ 75<br />

c<br />

φ (NMI)<br />

MCLA agglo−cos−upgma<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

E λc<br />

λ 2 c<br />

λ 5 c<br />

SLSAD agglo−cos−upgma<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

E λc<br />

λ 2 c<br />

λ 5 c<br />

λ 10<br />

c<br />

λ 15<br />

c<br />

λ 20<br />

c<br />

λ 30<br />

c<br />

(g) SLSAD<br />

λ 10<br />

c<br />

λ 15<br />

c<br />

λ 20<br />

c<br />

(d) MCLA<br />

Figure E.21: φ (NMI) boxplots of the self-refined intermodal consensus clustering solutions<br />

using the agglo-cos-upgma algorithm on the Corel data set.<br />

370<br />

λ 40<br />

c<br />

λ 50<br />

c<br />

λ 75<br />

c<br />

λ 30<br />

c<br />

λ 40<br />

c<br />

λ 50<br />

c<br />

λ 75<br />

c

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