What is the perceptron algorithm used for? Clustering data points Classifying data Solving optimization problems Finding the shortest path in a graph

The perceptron algorithm is primarily used for Classifying data. It is a type of linear classifier that utilizes a simple model of a neuron to make predictions. The algorithm works by taking a set of inputs, applying weights to them, and passing the weighted sum through an activation function, typically a step function. If the output meets a certain threshold, it assigns a class label, effectively helping in distinguishing between different categories of data points. While it has been foundational in the development of more complex neural network architectures, it is specifically designed for binary classification tasks.

Thus, the correct answer to the question is Classifying data.