Haroldo da Silva Ferreira, Myrtis Katille de Assunção Bezerra, Monica Lopes de Assunção, Risia Cristina Egito de Menezes
Prevalence of and factors associated with anemia in school children from Maceió, northeastern Brazil
BMC public health
introduce novel exploratory technique termed biarchetype analysis extends archetype analysis simultaneously identify archetypes observations features innovative unsupervised machine learning tool aims represent observations features instances pure types biarchetypes easily interpretable embody mixtures observations features furthermore observations features expressed mixtures biarchetypes makes structure data easier understand propose algorithm solve biarchetype analysis although clustering primary aim technique biarchetype analysis demonstrated offer significant advantages biclustering methods particularly terms interpretability attributed biarchetypes extreme instances contrast centroids produced biclustering inherently enhances human comprehension application biarchetype analysis across various machine learning challenges underscores value source code examples readily accessible r python httpsgithubcomaleixalcacerjabiaa