Step 1: Understanding Clustering Methods
Clustering is an unsupervised learning technique used to group data points based on similarity.
Step 2: Evaluating the Options
- (A) Incorrect: K-nearest Neighbour (KNN) is a classification algorithm, not a clustering method.
- (B) Incorrect: Agglomerative clustering is a hierarchical clustering method.
- (C) Incorrect: K-means clustering is a popular centroid-based clustering method.
- (D) Correct: Linear search is not a clustering method; it is an algorithm for searching an element in a list.