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A Maximum-Entropy Fuzzy Clustering Approach for Cancer Dete..:
Fordellone, Mario
;
De Benedictis, Ilaria
;
Bruzzese, Dario
.
Applied Sciences. 13 (2023) 4 - p. 2191 , 2023
Link:
https://doi.org/10.3390/app13042191
RT Journal T1 <Title>A Maximum-Entropy Fuzzy Clustering Approach for Cancer Detection When Data Are Uncertain</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_app13042191&Exemplar=1&LAN=DE A1 Fordellone, Mario A1 De Benedictis, Ilaria A1 Bruzzese, Dario A1 Chiodini, Paolo PB MDPI AG YR 2023 SN 2076-3417 JF Applied Sciences VO 13 IS 4 SP 2191 LK http://dx.doi.org/https://doi.org/10.3390/app13042191 DO https://doi.org/10.3390/app13042191 SF ELIB - SuUB Bremen
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