TY  - JOUR 
AU  - Camêlo Aguiar, Dalila
AU  - Gutiérrez Sánchez, Ramón
AU  - Silva Camêlo, Edwirde Luiz
PY  - 2020
UR  - http://hdl.handle.net/10481/64985
AB  - In this paper, we propose presenting a solution based on socio-epidemiological variables of
tuberculosis, considering a clustering with spatial/geographical constraints; and, determine a value of
alpha that increases spatial contiguity without...
LA  - eng
PB  - Mdpi
KW  - Ward-like algorithm
KW  - Spatial constraints
KW  - Measure of risk
KW  - Tuberculosis
KW  - State of Paraíba, Brazil
TI  - Hierarchical Clustering with Spatial Constraints and Standardized Incidence Ratio in Tuberculosis Data
DO  - 10.3390/math8091478
ER  -