Research Article

The New and Computationally Efficient MIL-SOM Algorithm: Potential Benefits for Visualization and Analysis of a Large-Scale High-Dimensional Clinically Acquired Geographic Data

Figure 2

Figure 2(a)ā€“2(c) illustrate the spatial distributions of untrained and MIL-SOM trained datasets. Figure 1(a) represents adult asthma (map units in UTM, meters); Figure 2(b) is childhood asthma (map units in UTM, meters); Figure 2(c) is elevated blood lead levels (map units in state plane, feet).
683265.fig.002a
(a) (Upper part) untrained childhood asthma dataset, (lower part) Trained childhood asthma dataset
683265.fig.002b
(b) (Upper part) untrained adult asthma dataset, (lower part) trained adult asthma dataset
683265.fig.002c
(c) (Upper part) untrained elevated blood lead levels dataset, (lower part) Trained elevated blood lead levels