# perceptronalgorithms for linearclassification| by edwin

Aug 20, 2019 · The idea behind the binary linear classifier can be described as follows. where x is the feature vector, θ is the weight vector, and θ ₀ is the bias. The sign function is used to distinguish x as either a positive (+1) or a negative (-1) label. There is the decision boundary to separate the data with different labels, which occurs at