Fuzzy Soft Set Clustering for Categorical Data
Categorical data clustering is difficult because categorical data lacks natural order and can comprise groups of data only related to specific dimensions. Conventional clustering, such as k-means, cannot be openly used to categorical data.
Iwan Tri Riyadi Yanto +5 more
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This work is centered on testing the randomness of d-digit number game. It is usual that this problem is studied by the χ² test and other tests for independence of successive draws. However, these tests require of large sample sizes.
Gutiérrez-Pulido Humberto +1 more
doaj
Multiple Comparisons With Overdispersed Multinomial Data: Methods, Properties and Application. [PDF]
Budig S, Vogel C, Schaarschmidt F.
europepmc +1 more source
Epidemiological Insights Into BVDV and IBRV in Feeder Cattle After Cross-Regional Transport in China 2022-2024: Coinfection Dynamics and Implications for BRDC Control. [PDF]
Ren L +5 more
europepmc +1 more source
Genome analysis with the conditional multinomial distribution profile. [PDF]
Chang G, Wang T.
europepmc +1 more source
ANNalog: generation of MedChem-similar molecules. [PDF]
Dai W +4 more
europepmc +1 more source
Multinomial probability model of radiation induced DSB and non-DSB clusters: tandem and bistranded damage clusters. [PDF]
Cucinotta FA.
europepmc +1 more source
Genotypic Distribution and Epidemiological Analysis of Hepatitis C Virus in the Epirus Region of Northwestern Greece (2014-2024). [PDF]
Bozidis P +4 more
europepmc +1 more source
Multimorbidity patterns are associated with postoperative delirium in older patients undergoing non-cardiac surgery: an observational study. [PDF]
Hu XY +5 more
europepmc +1 more source
Epidemiology of open and closed diastemata in equine cheek teeth and associations with periodontal pathology. [PDF]
Mata F, Johnson C.
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