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

Question

Quizplus · Accepted Answer

The k-nearest neighbor (KNN) algorithm is effective for image recognition and categorization problems because it classifies new cases based on a similarity measure (e.g., distance functions) with known cases, making it suitable for handling the high dimensionality and complexity of image data.

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