Generalized Fisher Score for Feature Selection

Understand

Fisher score is one of the most widely used supervised feature selection methods.

• However, it selects each feature independently according to their scores under the Fisher criterion, which leads to a suboptimal subset of features.
• In this paper, we present a generalized Fisher score to jointly select features.
• It aims at finding an subset of features, which maximize the lower bound of traditional Fisher score.