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

Table 1

Description of experimental datasets.

Datasets	Number of input dimensions	Number of records	Description of input dimensions
Childhood asthma	6	10335	X and Y coordinates;
			case control value;
			residence distance (500 m)
			of a patient to a highway,
			to a pollution source (1000 m),
			to a sampling site of measured particulate
			matter concentrations (1000 m).
Adult asthma	6	4910	Unknown organized spatial
			patterns and is noisy
Randomly generated	7	10000	Age of housing units is given in percentile
			intervals beginning with pre-1939
			units up to the year 2000 (9 dimensions);
			median year; elevated blood lead levels for
Elevated blood lead levels	15	2506, 24691	1997, 2000, and 2003; X and Y coordinates