The k-nearest neighbor algorithm appears well-suited to solving image recognition and categorization problems.

Question

Quizplus · Accepted Answer

The k-nearest neighbor algorithm is a popular machine learning algorithm that can be used for classification and regression tasks, including image recognition and categorization. It works by finding the k closest data points to a given input and assigning a label based on their majority class. Therefore, it appears well-suited for these types of problems.

The K-Nearest Neighbor Algorithm Appears Well-Suited to Solving Image Recognition