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Fig. 9 | Applied Network Science

Fig. 9

From: An illustrated approach to Soft Textual Cartography

Fig. 9

Municipalities soft clustering on all the topics depicts the semi-supervised hard assignment obtained from a random membership Z0 for m=9 groups using distance matrix D obtained from topic modelling with k=9 after 24 iterations. Left top Hard membership. Left bottom the conditional entropy of topics H(R|i) showing municipality-topic probability distribution uncertainty. Right top the CA bi-plot between Z (∙) and the official classification (\(\blacktriangle \)) with m=9. Right bottom The free-energy plot (β=20,α=10)

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