Findings: Given it’s ability here to find geographic variances in students admitted to a university, the Support Vector Machine is a good tool for recognizing hidden patterns in a dataset.
Method: the paper tests Support Vector Machine against the more traditional method of Linear Discriminant Analysis.
Good for: Researchers looking for new or additional pattern recognition tools.
