Linear Discriminant Analysis is a powerful technique for dimensionality reduction and classification. It aims to find a linear combination of features that best separates two or more classes of ...
1. The input variables has a gaussian distribution. 2. The variance calculated for each input variables by class grouping is the same. 3. The mix of classes in your training set is representative of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results