Classification Techniques : Support Vector Machines versus Fisher's Linear Discriminant Analysis

Betreuer: Bertold Bongardt

While Fisher's Linear Discriminant Analysis could be considered as a "classic statistics method"
for classification tasks, Support Vector Machines somehow represent a "popular AI tool" to achieve a
robust classification. In scope of the Seminar at IRP, a comparison of the two methods shall be
worked out; The comparison should be based on principle arguments, but also provide illustrative
examples.